Prosecution Insights
Last updated: October 26, 2026
Application No. 19/069,129

METHOD FOR DISPLAYING SEARCH RESULT, ELECTRONIC DEVICE AND STORAGE MEDIUM

Non-Final OA §101§102§103§112
Filed
Mar 03, 2025
Priority
Mar 06, 2023 — CN 202310210485.6 +1 more
Examiner
OWYANG, MICHELLE N
Art Unit
2168
Tech Center
2100 — Computer Architecture & Software
Assignee
Beijing Zitiao Network Technology Co., Ltd.
OA Round
3 (Non-Final)
76%
Grant Probability
Favorable
3-4
OA Rounds
1y 4m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 76% — above average
76%
Career Allowance Rate
475 granted / 623 resolved
+21.2% vs TC avg
Strong +29% interview lift
Without
With
+28.9%
Interview Lift
resolved cases with interview
Typical timeline
3y 0m
Avg Prosecution
8 currently pending
Career history
637
Total Applications
across all art units

Statute-Specific Performance

§101
16.9%
-23.1% vs TC avg
§103
41.7%
+1.7% vs TC avg
§102
12.8%
-27.2% vs TC avg
§112
18.3%
-21.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 623 resolved cases

Office Action

§101 §102 §103 §112
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 8/14/2026 has been entered. Claims 1, 3-8, 10-12, 14-20 are pending. Claims 2, 9, and 13 are cancelled. Response to Arguments Applicant’s arguments with respect to the rejections previously made and the amended claims filed on 7/9/2026 have been fully considered. In view of the claim amendments, the rejections are being updated accordingly. 35 USC 103 Rejections Applicant’s arguments on the cited reference Wang fails to discloses the amended limitations of “determining, based on the demand analysis result and the initial search result, whether the query request has a definite answer, and in accordance with a determination that the query request does not have a definite answer, generating, based on the demand analysis result and the first display information, a key information prompt; and displaying, at a preset position of a display interface, the first display information, and displaying, next to the first display information on the same display interface, key information prompt” as recited in the independent claims have been fully considered. In response to the arguments, it is submitted that Wang properly discloses amended limitations as least in view of Wang discloses determine whether the query is has a definite answer represented by a precise answer based on the demand analysis and search result, and generate a key information prompt—which is merely a type of data information such as but not limited to “Attractions” -- based on the first dimension and demand analysis of multi-demand query request “Wu town” that does not have a precise answer ([0061], [0066]), Thus, for least the reasoning stated above, it is submitted that the Wang properly discloses the cited limitations; see the updated rejections below for detail. Furthermore, it is submitted that all limitations in pending claims--including those not specifically argued--are properly addressed. The reason is set forth in the rejections. See claim analysis below for detail. Claim Objections Claims 4 and 15 objected to because of the following informalities: missing a comma (,) between “result” and “whether” in the limitation “determining, based on the demand analysis result and the initial result whether the query request has a definite answer…”. Appropriate correction is required. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1, 3-8, 10-12, 14-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Each of the independent claims 1, 12 and 20 recited claims recites mental processes in the limitations of “performing, based on a received query request, demand analysis to obtain a demand analysis result”, “performing a search to obtain an initial search result… comprises: determining… a search keyword; performing…the search to obtain the initial search result”, “determining… first display information”, “determining… whether the query request has a definite answer and in accordance with a determination… generating, …a key information prompt”. Each of these limitations could be done mentally based on the gathered information. Mental processes are directed to one of the abstract ideas groups as set forth by Prong One in Step 2A of the 2019 Patent Subject Matter Eligibility Guidance. Additionally, the final step of “displaying, at a preset position … the first display information, and displaying, next to the first display information, key information prompt” does not provide any integration into a practical application. Rather, the limitation appears to be mere data outputting and applying the abstract idea. As an initial point, if two pieces of information (i.e. claimed first display information, and key information prompt) are displayed at the same time, the two pieces of information must in be display next to or adjacent of each other in some fashion since there’s no other way of displaying two pieces of information where they are not “next” to one another on the same user interface correspond to the same display interface as claimed, unless they were displayed entirely separately. Thus, claimed displaying is nothing more than merely “display first information” and “display key information prompt”, as there is no significance or purpose in the claim or disclosure for any specific “preset position”. Accordingly, the claimed display is merely directed to data outputting of the abstract idea and insignificant extra-solution activity Even considering the claims as a whole, and given the breadth of the claimed display “display first information” and “display key information prompt”, presenting this information next to each other would not provide any integration into a practical application, since the claims are not claiming any inventive new display format, and nothing in the disclosure recite any improvement to the display or how it functions. Merely stating displaying or providing more information together is a benefit, but that would apply even outside of a computer if this information was merely sent to the user in some other fashion. Hence the displaying step is directed merely an insignificant extra-solution activity that would not sufficiently amount to significantly more than the judicial exception. Further, the claims do not include additional elements that are sufficient to amount to significantly more than the judicial exception. Additional elements (e.g. initial search result, demand analysis result, first display information, key information prompt) are directed to types of information, which do not impose a meaningful limit on the judicial exception, such that the claims are more than a drafting effort design to monopolize exception, because the claimed steps could be performed in a same manner to achieve the same outcome with other types of information other than the ones being used in the claims. Hence, the claims do not include additional elements or the combination of the elements are sufficient to amount to significantly more than the judicial exception and fail to integrate the judicial exception into practical application according to Prong Two in Step 2A of the 2019 Patent Subject Matter Eligibility Guidance because the claimed elements or their combination do not impose any meaningful limits on practicing the abstract idea. Further, in view of Step 2B of the 2019 Patent Subject Matter Eligibility Guidance, it is determined that the computing elements (such as a memory, a processor, computer program) in the claims amount to no more than usage of a generic computing system having a generic computing components, which fails to provide an inventive concept or significantly more than abstract idea because the elements do not necessary improve the functional of a computing system or an improvement to a technical field since network computing is well known. Dependent claims 3 and 14 each further recites additional mental process in limitations of “determining, … first display information comprises: when it is determined, based on the demand analysis result and the initial search result…selecting N search results”, which could be done mentally based on the gathered and selecting information. Also, the additional elements (e.g. N search results) in the limitations are directed to types of information materials that are being manipulated, which do not impose a meaningful limit on the judicial exception. Dependent claims 4 and 15 each further recites additional mental process in limitations of “wherein the determining… whether the query request has a definite answer … comprises: performing… extended search to obtain an extended search result; and using first M search results in the extended search result as the key information prompt…”, which could be done mentally based on the gathered and selecting information. Also, the additional elements (e.g. extended search result M search results) in the limitations are directed to types of information materials that are being manipulated, which do not impose a meaningful limit on the judicial exception. Dependent claims 5 and 16 each further recites additional mental process in limitations of “wherein the performing…an extended search to obtain an extended search result comprises: calculating, …at least one of entity word relevance and similarity… performing… the extended search ”, which could be done mentally based on the gathered and analysis information. Also, the additional elements (e.g. entity word relevance, similarity) in the limitations are directed to types of information materials that are being manipulated, which do not impose a meaningful limit on the judicial exception. Dependent claims 6 and 17 each further recites additional mental process in limitations of “in response to the query request having an affirmative answer, the key information prompt is supplementary information related … in response to the query request having a negative answer, the key information prompt is a solution…”, which could be done mentally based on the gathered and analysis information. Also, the additional elements (e.g. supplementary information, solution) in the limitations are directed to types of information materials that are being manipulated, which do not impose a meaningful limit on the judicial exception. Dependent claims 7 and 8 each further recites additional mental process in limitations of “wherein the determining…first display information comprises: in response to determining…performing, based on the demand analysis result and the initial search result, an extended search…using first M search results in the extended search result …”, which could be done mentally based on the gathered and analysis information. Also, the additional elements (e.g. extended search result, N search results) in the limitations are directed to types of information materials that are being manipulated, which do not impose a meaningful limit on the judicial exception. Dependent claims 8 and 19 each further recites additional mental process in limitations of “wherein the performing…an extended search to obtain an extended search result comprises: calculating, …at least one of entity word relevance and similarity… performing… the extended search ”, which could be done mentally based on the gathered and analysis information. Also, the additional elements (e.g. entity word relevance, similarity) in the limitations are directed to types of information materials that are being manipulated, which do not impose a meaningful limit on the judicial exception. Dependent claims 10-11 each further recites additional mental process in limitations of “whether the query request has the definite answer is determined by: performing a semantic recognition on the query request.. determining…whether the query request has the definite answer”, which could be done mentally based on the gathered and analysis information. Also, the additional elements (e.g. query request, a demand) in the limitations are directed to types of information materials that are being manipulated, which do not impose a meaningful limit on the judicial exception. Thus, for at least the reasoning above, the pending claims are not patent eligible. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claims 4-6, 10-11, and 15-17 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Claims 4 and 15 recite limitations of “…performing, based on the demand analysis result and the first display information, an extended search to obtain an extended search result; and using first M search results in the extended search result as the key information prompt…” that are contradicting with limitations of “determining… in accordance with a determination that the query request does not have a definite answer, generating, based on the demand analysis result and the first display information, a key information prompt” recited in the independent claims 1 & 12 rendering claims 4 & 15 being indefinite. The limitations in independent claims 1 & 12 indicate that the key information prompt is generated based on the demand analysis result and the first display information, not the extended search as recited in claims 4 & 15, respectively. Claims 6 and 17 recite limitations “in response to the query request having an affirmative answer, the key information prompt is supplementary information… in response to the query request having a negative answer, the key information prompt is a solution” that are contradicting with limitations of “determining… in accordance with a determination that the query request does not have a definite answer, generating, based on the demand analysis result and the first display information, a key information prompt” recited in the independent claims 1 & 12 rendering claims 6 and 17 being indefinite. Both affirmative answer and negative answer in claims 6 and 17 are directed to definite answer. However, independent claims 1 and 12 recite the key information is generated when the query request does not have a definite answer. Claims 10-11 recite limitations “determining, based on the demand of the query request and the initial search result, whether the query request has the definite answer” that is contradicting with the “determining, based on the demand analysis result and the initial search result, whether the query request has a definite answer” in the independent claims 1 & 12 rendering claims 6 and 17 being indefinite. The limitation of independent claims indicates that whether the query request has a definite answer is determined based on the on the demand analysis result and the initial search, and not the demand of the query request or the initial search result as recited in claims 10-11 Any claim not specifically addressed is being rejected for incorporate the deficiencies of the claim it depends on. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1, 3-5, 8, 10-12, 14-16, 18-20 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Wang et al (Pub No.US 2017/0228459, hereinafter Wang). Wang is cited in the previous office action. With respect claim 1, Wang discloses a method for displaying search result (abstract), comprising: performing, based on a received query request, demand analysis to obtain a demand analysis result ([0047-0049], Fig 9: perform a demand analysis of a received query to obtain a demand analysis result represented by a determined type of demand query, the result being either a single demand query or a muti-demand query, as further disclosed in [0074-0078]); performing a search to obtain an initial search result ([0049], Fig 4B-4D: performing a search to obtain an initial result set based on the demand analysis result that indicates the type of demand and the query, such as and not limited to initial result for a single demand query, or an initial result for a multi-demand query, which is also being described in [0059-0068] & [0084], [0095], [0110]), wherein the performing the search to obtain the initial search result comprises: determining, based on the demand analysis result and the query request, a search keyword ([0059]: determine a search keyword based on a demand analysis result and the query request. Such as a search keyword of “weather” based on the demand analysis result of single demand query for a query request of “weather in Beijing” which leads to a search of weather and initial result relevant to weather in Beijing. The determined search keyword such as “food” for the demand analysis result of multi-demand for query request of “Wu town” as described in [0065-0068]. The determining step is further described in [0080-0083]); and performing, based on the search keyword, the search to obtain the initial search result ([0060]: perform the search based on at least the search term to obtain the initial search result for single demand query, and result for multi-demand query as described in [0066-0068], as further described in described in [0080], [0085]). determining, based on the demand analysis result and the initial search result, first display information (first display information is merely a type of information;[0060-0068], Fig 4a & 7a: determine a first display information based on the demand analysis result of single demand or multi-demand, such as and not limited to a first display information of weather at a specific time of initial search result in Beijing, or a first display information represented by a first dimension of an aggregate result from the initial search result for multi-demand query “Wu town” obtained from the demand analysis result based on the demand analysis and the initial result. The determining is further described in [0095], [0110]); determining, based on the demand analysis result and the initial search result, whether the query request has a definite answer ([0061], [0066]: determine whether the query request has a definite answer represented whether there’s a precise answer based on the demand analysis and search result, as further describe in [0107], [0110), and in accordance with a determination that the query request does not have a definite answer, generating, based on the demand analysis result and the first display information, a key information prompt (a key information prompt is merely a type of information, as further indicated in claims 6;[0065-0068], Fig 7a: generate a key information prompt such as “Attractions” based on the first dimension and demand analysis of multi-demand query that does not have a precise answer, as further disclose in [0095-0096]); and displaying, at a preset position of a display interface, the first display information, and displaying, next to the first display information on the same display interface, key information prompt ([0066], Fig 7a: the first information of a dimension and the prompt such as “Attraction” are being displayed next each other on the same display interface as shown in Fig 7a, as further disclosed in [0095], [0110]). With respect to claim 12, Wang discloses an electronic device, comprising a memory, a processor, a bus, and a computer program stored in the memory and executable by the processor, wherein the processor, when executing the computer program, performs a method for displaying search result (abstract, [0151-0152]), and the method comprises: performing, based on a received query request, demand analysis to obtain a demand analysis result ([0047-0049], Fig 9: perform a demand analysis of a received query to obtain a demand analysis result represented by a determined type of demand query, the result being either a single demand query or a muti-demand query, as further disclosed in [0074-0078]); performing a search to obtain an initial search result ([0049], Fig 4B-4D: performing a search to obtain an initial result set based on the demand analysis result that indicates the type of demand and the query, such as and not limited to initial result for a single demand query, or an initial result for a multi-demand query, which is also being described in [0059-0068] & [0084], [0095], [0110]), wherein the performing the search to obtain the initial search result comprises: determining, based on the demand analysis result and the query request, a search keyword ([0059]: determine a search keyword based on a demand analysis result and the query request. Such as a search keyword of “weather” based on the demand analysis result of single demand query for a query request of “weather in Beijing” which leads to a search of weather and initial result relevant to weather in Beijing. The determined search keyword such as “food” for the demand analysis result of multi-demand for query request of “Wu town” as described in [0065-0068]. The determining step is further described in [0080-0083]); and performing, based on the search keyword, the search to obtain the initial search result ([0060]: perform the search based on at least the search term to obtain the initial search result for single demand query, and result for multi-demand query as described in [0066-0068], as further described in described in [0080], [0085]). determining, based on the demand analysis result and the initial search result, first display information (first display information is merely a type of information;[0060-0068], Fig 4a & 7a: determine a first display information based on the demand analysis result of single demand or multi-demand, such as and not limited to a first display information of weather at a specific time of initial search result in Beijing, or a first display information represented by a first dimension of an aggregate result from the initial search result for multi-demand query “Wu town” obtained from the demand analysis result based on the demand analysis and the initial result. The determining is further described in [0095], [0110]); determining, based on the demand analysis result and the initial search result, whether the query request has a definite answer ([0061], [0066]: determine whether the query request has a definite answer represented whether there’s a precise answer based on the demand analysis and search result, as further describe in [0107], [0110), and in accordance with a determination that the query request does not have a definite answer, generating, based on the demand analysis result and the first display information, a key information prompt (a key information prompt is merely a type of information, as further indicated in claims 6;[0065-0068], Fig 7a: generate a key information prompt such as “Attractions” based on the first dimension and demand analysis of multi-demand query that does not have a precise answer, as further disclose in [0095-0096]); and displaying, at a preset position of a display interface, the first display information, and displaying, next to the first display information on the same display interface, key information prompt ([0066], Fig 7a: the first information of a dimension and the prompt such as “Attraction” are being displayed next each other on the same display interface as shown in Fig 7a, as further disclosed in [0095], [0110]). With respect to claims 3 and 14, Wang further discloses wherein the determining, based on the demand analysis result and the initial search result, first display information comprises: when it is determined, based on the demand analysis result and the initial search result, that the query request has a definite answer, selecting N search results from the initial search result as the first display information, wherein N is a natural number ([0071]: when determine that the query has a definite answer represented by a precise result, select N results--such as prices result and a recommendation guide result-- for display, that indicate that N is a natural number). With respect to claims 4 and 15, Wang further discloses wherein the determining, based on the demand analysis result and the initial result whether the query request has a definite answer comprises: performing, based on the demand analysis result and the first display information, an extended search to obtain an extended search result ([0061-0063]: obtain extended search result represented by the context page); and using first M search results in the extended search result as the key information prompt, wherein M is a natural number ([0066], Fig 7a: using N number of search results as the key information prompt in the aggregate result, M may be any numeric number as shown in Fig 7a, and further disclose in [0095], [0108]). With respect to claims 5 and 16, Wang further discloses wherein the performing, based on the demand analysis result and the first display information, an extended search to obtain an extended search result comprises: calculating, based on the demand analysis result and the initial search result, at least one of entity word relevance and similarity, to determine at least one of a corresponding extended keyword and a relationship chain ([0071]: calculating relevancy and [0095] as described in [0095] & [0109] for extended keyword and relationship for extended search correspond to the context search via user interface); and performing, based on at least one of the extended keywords and the relationship chain, the extended search to obtain the extended search result ([0070-0072]: perform extended search represented by the context search via user interaction according to the keyword and relationships as shown in Fig 4B-8 that one keyword is link to another of the extended result). With respect to claims 7 and 18, Wang further discloses wherein the determining, based on the demand analysis result and the initial search result, first display information comprises: in response to determining, based on the demand analysis result and the initial search result, that the query request does not have a definite answer, performing, based on the demand analysis result and the initial search result, an extended search to obtain an extended search result ([0066-0068]: when determine that the query does not have a definite answer represented by a multi-demand query does have a precise answer); and using the first N search results in the extended search result as the first display information, wherein N is a natural number ([0062-0062], Fig 4C-5: using N number of results in the extended search result represented by the context search results as information for display). With respect to claims 8 and 19, Wang further discloses wherein the performing, based on the demand analysis result and the initial search result, an extended search to obtain an extended search result comprises: calculating, based on the demand analysis result and the initial search result, at least one of entity word relevance and similarity, to determine at least one of a corresponding extended keyword and a relationship chain([0071]: calculating relevancy and [0095] as described in [0095] & [0109] for extended keyword and relationship for extended search correspond to the context search via user interface); and performing, based on at least one of the extended keyword and the relationship chain, the extended search to obtain the extended search result ([0070-0072]: perform extended search represented by the context search via user interaction according to the keyword and relationships as shown in Fig 4B-8 that one keyword is link to another of the extended result). With respect to claims 10-11, Wang further discloses wherein whether the query request has the definite answer is determined by: performing a semantic recognition on the query request, and determining a demand of the query request based on a result of the semantic recognition ([0079-0080]: performing semantic analysis corresponding to the semantic recognition and determine a demand for the type of query as described in [0129]); and determining, based on the demand of the query request and the initial search result, whether the query request has the definite answer ([0046-0047]: determine whether the query has a definite answer in view of query demand classification described in [0129] which includes a query with a precise result representing the definite answer). With respect to claim 20, Wang discloses a non-transitory computer-readable storage medium storing a computer program which, when executed by a processor, performs a method for displaying search result (abstract, [0151-0152]), and the method comprises: performing, based on a received query request, demand analysis to obtain a demand analysis result ([0047-0049], Fig 9: perform a demand analysis of a received query to obtain a demand analysis result represented by a determined type of demand query, the result being either a single demand query or a muti-demand query, as further disclosed in [0074-0078]); performing a search to obtain an initial search result ([0049], Fig 4B-4D: performing a search to obtain an initial result set based on the demand analysis result that indicates the type of demand and the query, such as and not limited to initial result for a single demand query, or an initial result for a multi-demand query, which is also being described in [0059-0068] & [0084], [0095], [0110]), wherein the performing the search to obtain the initial search result comprises: determining, based on the demand analysis result and the query request, a search keyword ([0059]: determine a search keyword based on a demand analysis result and the query request. Such as a search keyword of “weather” based on the demand analysis result of single demand query for a query request of “weather in Beijing” which leads to a search of weather and initial result relevant to weather in Beijing. The determined search keyword such as “food” for the demand analysis result of multi-demand for query request of “Wu town” as described in [0065-0068]. The determining step is further described in [0080-0083]); and performing, based on the search keyword, the search to obtain the initial search result ([0060]: perform the search based on at least the search term to obtain the initial search result for single demand query, and result for multi-demand query as described in [0066-0068], as further described in described in [0080], [0085]). determining, based on the demand analysis result and the initial search result, first display information (first display information is merely a type of information;[0060-0068], Fig 4a & 7a: determine a first display information based on the demand analysis result of single demand or multi-demand, such as and not limited to a first display information of weather at a specific time of initial search result in Beijing, or a first display information represented by a first dimension of an aggregate result from the initial search result for multi-demand query “Wu town” obtained from the demand analysis result based on the demand analysis and the initial result. The determining is further described in [0095], [0110]); determining, based on the demand analysis result and the initial search result, whether the query request has a definite answer ([0061], [0066]: determine whether the query request has a definite answer represented whether there’s a precise answer based on the demand analysis and search result, as further describe in [0107], [0110), and in accordance with a determination that the query request does not have a definite answer, generating, based on the demand analysis result and the first display information, a key information prompt (a key information prompt is merely a type of information, as further indicated in claims 6;[0065-0068], Fig 7a: generate a key information prompt such as “Attractions” based on the first dimension and demand analysis of multi-demand query that does not have a precise answer, as further disclose in [0095-0096]); and displaying, at a preset position of a display interface, the first display information, and displaying, next to the first display information on the same display interface, key information prompt ([0066], Fig 7a: the first information of a dimension and the prompt such as “Attraction” are being displayed next each other on the same display interface as shown in Fig 7a, as further disclosed in [0095], [0110]). Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. This application currently names joint inventors. In considering patentability of the claims the examiner presumes that the subject matter of the various claims was commonly owned as of the effective filing date of the claimed invention(s) absent any evidence to the contrary. Applicant is advised of the obligation under 37 CFR 1.56 to point out the inventor and effective filing dates of each claim that was not commonly owned as of the effective filing date of the later invention in order for the examiner to consider the applicability of 35 U.S.C. 102(b)(2)(C) for any potential 35 U.S.C. 102(a)(2) prior art against the later invention. Claims 6 and 17 are rejected under 35 U.S.C. 103 as being unpatentable over Wang, as applied to claims 5 and 16 respectively, in view of Wang et al (Pub. No.US 2022/0351721, hereinafter Wang I). With respect to claims 6 and 17, Wang further discloses wherein: in response to the query request having an affirmative answer, the key information prompt is supplementary information related to the first display information ([0061], [0066], Fig 4 & 7a: supplementary information is merely a type of information data that is related to the first display information. In response to the query has relevant results in each dimension correspond to affirmative answer, the key information prompt is data information that is a supplementary information, which as and not limited to the graph related to the term “Attraction” for the “Wu town” query). Wang does not explicitly disclose in response to the query request having a negative answer, the key information prompt is a solution related to the first display information. However, Wang I discloses in response to the query request having a negative answer, the key information prompt is a solution related to the first display information ([0103]: in response the query having a negative answer, 2nd display information is a solution of returning the demand expression to the user in a form of general question for subsequent processing). Since both Wang and Wang I are from the same field of endeavor because both are directed to processing query for results, which is in the same field of endeavor as the claimed invention, it would have been obvious to one skilled in the art before the effective filing date of the claimed invention to modify and combine their teachings by incorporate the query negative answer of Wang I into Wang for determining the second display information as claimed. The motivation to combine is to enhance searching experience with efficiency for users (Wang, [0005] & [0087]; Wang I, [0009]). Examiner Notes Examiner has cited particular columns/paragraph and line numbers in the references applied to the claims above for the convenience of the applicant. Although the specified citations are representative of the teachings of the art and are applied to specific limitations within the individual claim, other passages and figures may apply as well. It is respectfully requested from the applicant in preparing responses, to fully consider the references in entirety as potentially teaching all or part of the claimed invention, as well as the context of the passage as taught by the prior art or disclosed by the Examiner. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Prior art Dearing et al (Pub No. 2025/0173606) disclose discloses a same field of endeavor as the claimed invention, a computer implemented method and system configured to perform similar operations as the claimed operations, including performing search to obtain search results, and displaying different types of related information including key information prompt based on analysis. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Michelle Owyang whose telephone number is (571)270-1254. The examiner can normally be reached Monday-Friday, 8am-6pm EST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Charles Rones can be reached at (571)272-4085. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MICHELLE N OWYANG/Primary Examiner, Art Unit 2168
Read full office action

Prosecution Timeline

Show 1 earlier event
Apr 18, 2025
Response after Non-Final Action
Jan 09, 2026
Non-Final Rejection mailed — §101, §102, §103
Mar 25, 2026
Response Filed
May 22, 2026
Final Rejection mailed — §101, §102, §103
Jul 09, 2026
Response after Non-Final Action
Aug 14, 2026
Request for Continued Examination
Aug 17, 2026
Response after Non-Final Action
Oct 01, 2026
Non-Final Rejection mailed — §101, §102, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12769750
NATURAL LANGUAGE TO CUSTOMIZE DATA VISUALIZATION
1y 11m to grant Granted Oct 20, 2026
Patent 12762127
DATA SYSTEM CONFIGURED TO TRANSPARENTLY CACHE DATA OF DATA SOURCES AND ACCESS THE CACHED DATA
1y 8m to grant Granted Oct 13, 2026
Patent 12754915
DATA SEARCH PROCEDURE
1y 10m to grant Granted Oct 06, 2026
Patent 12748767
METHOD AND SYSTEM FOR CONFIGURING RETRIEVAL-AUGMENTED GENERATION
1y 7m to grant Granted Sep 29, 2026
Patent 12748726
CLOUD-BASED SECURE OPERATION OF A RECOVERY STORAGE MANAGER
1y 3m to grant Granted Sep 29, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
76%
Grant Probability
99%
With Interview (+28.9%)
3y 0m (~1y 4m remaining)
Median Time to Grant
High
PTA Risk
Based on 623 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month