Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 5 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days
Expedia Inc. currently manages 8 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These matters are assigned to 8 distinct examiners, meaning each of the 8 pending actions is being reviewed by a different individual. This distribution indicates a lack of examiner consolidation across the current portfolio. Such a decentralized approach requires the company to navigate 8 different examination styles, which can lead to a diverse range of prosecution outcomes for its e-commerce and mechanical systems filings.
The company's prosecution activity is spread across 6 distinct art units. With 8 pending office actions, the company's work is distributed through 6 different specialized divisions. This presence in 6 art units suggests that the company's e-commerce and mechanical systems filings cover several technical classifications. The ratio of 8 actions to 6 art units indicates that most units are handling only one or two cases, further emphasizing the wide technical reach of the company's current patent portfolio within its primary technology area.
MARILYN G MACASIANO is the busiest examiner for the portfolio, currently handling 1 pending office action. As all 8 distinct examiners are managing exactly 1 action each, the workload is uniform across the 8 pending matters. The management of 8 pending actions in 6 art units reflects the company's ongoing patent efforts. This structure indicates that the company's current portfolio is being reviewed by a varied group of specialists, requiring a comprehensive approach to its intellectual property strategy.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 2 (29%) |
| §101 + other | 3 (43%) |
| §103 only | 2 (29%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| MACASIANO, MARILYN G | 1 | 57.5% | +17.1% |
| REFAI, SAM M | 1 | 34.9% | +7.4% |
| WEINER, ARIELLE E | 1 | 43.6% | +53.3% |
| KANG, TIMOTHY J | 1 | 45.7% | +26.8% |
| BUNKER, WILLIAM B | 1 | 80.2% | +94.9% |
| VOGT, JACOB BUI | 1 | 44.4% | +85.0% |
| KIM, PATRICK | 1 | 26.3% | +33.9% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18658526 | SYSTEMS AND METHODS FOR MITIGATING TRAVEL-RELATED TRANSACTION FRAUD RISK USING MACHINE LEARNING MODEL. | BUNKER, WILLIAM B | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18737796 | CENTROID-BASED MACHINE LEARNING ITEM RANKING WITHIN AN EMBEDDING SPACE | KANG, TIMOTHY J | 33d |
| 19423956 | AUTOMATED ACTIONABLE INSIGHT RECOMMENDATIONS | MACASIANO, MARILYN G | — |
| 19268819 | SYSTEM AND METHOD FOR CONDUCTING SEMI-OPAQUE SALES WITH ITEM BUNDLES | REFAI, SAM M | — |
| 19193667 | AI-DRIVEN TRAVEL COMPARISON SYSTEM | WEINER, ARIELLE E | — |
| 18221730 | GENERATION AND APPLICATION OF EMBEDDINGS FOR LODGING ITEMS | KIM, PATRICK | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18534384 | TRAVEL-SPECIFIC NATURAL LANGUAGE PROCESSING SYSTEM | VOGT, JACOB BUI | 8d overdue |
| 18737796 | CENTROID-BASED MACHINE LEARNING ITEM RANKING WITHIN AN EMBEDDING SPACE | KANG, TIMOTHY J | 33d |
| 19423956 | AUTOMATED ACTIONABLE INSIGHT RECOMMENDATIONS | MACASIANO, MARILYN G | — |
| 19193667 | AI-DRIVEN TRAVEL COMPARISON SYSTEM | WEINER, ARIELLE E | — |
| 18658526 | SYSTEMS AND METHODS FOR MITIGATING TRAVEL-RELATED TRANSACTION FRAUD RISK USING MACHINE LEARNING MODEL. | BUNKER, WILLIAM B | — |
| 18221730 | GENERATION AND APPLICATION OF EMBEDDINGS FOR LODGING ITEMS | KIM, PATRICK | — |
| Art Unit | Apps |
|---|---|
| 3622 | 1 |
| 3689 | 1 |
| 3691 | 1 |
| 2653 | 1 |
| 3628 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19423956 | AUTOMATED ACTIONABLE INSIGHT RECOMMENDATIONS | MACASIANO, MARILYN G | 3622 | §101 | Non-Final OA | — | Pending | Dec 17, 2025 |
| 19268819 | SYSTEM AND METHOD FOR CONDUCTING SEMI-OPAQUE SALES WITH ITEM BUNDLES | REFAI, SAM M | — | §101§103§112 | Non-Final OA | — | Pending | Jul 14, 2025 |
| 19193667 | AI-DRIVEN TRAVEL COMPARISON SYSTEM | WEINER, ARIELLE E | — | §101§102§103 | Non-Final OA | — | Pending | Apr 29, 2025 |
| 18737796 | CENTROID-BASED MACHINE LEARNING ITEM RANKING WITHIN AN EMBEDDING SPACE | KANG, TIMOTHY J | 3689 | §101§103 | Final Rejection | 33d | Pending | Jun 07, 2024 |
| 18658526 | SYSTEMS AND METHODS FOR MITIGATING TRAVEL-RELATED TRANSACTION FRAUD RISK USING MACHINE LEARNING MODEL. | BUNKER, WILLIAM B | 3691 | §103 | Non-Final OA | — | Pending | May 08, 2024 |
| 18534384 | TRAVEL-SPECIFIC NATURAL LANGUAGE PROCESSING SYSTEM | VOGT, JACOB BUI | 2653 | §103 | Non-Final OA | 8d overdue | Pending | Dec 08, 2023 |
| 18221730 | GENERATION AND APPLICATION OF EMBEDDINGS FOR LODGING ITEMS | KIM, PATRICK | 3628 | §101 | Non-Final OA | — | Pending | Jul 13, 2023 |
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