Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17129408 | SYSTEM AND METHOD FOR AUTOMATICALLY PROVIDING ALTERNATIVE POINTS OF VIEW FOR MULTIMEDIA CONTENT | December 2020 | November 2022 | Allow | 23 | 1 | 0 | No | No |
| 17125536 | EFFICIENT DICTIONARY DATA STRUCTURE TO FIND SIMILAR BACKUP CLIENTS | December 2020 | October 2024 | Allow | 46 | 2 | 0 | No | No |
| 17093290 | SYSTEM AND METHOD FOR MANAGING VOLUMES OF DATA IN A BLOCK STORAGE SYSTEM | November 2020 | December 2023 | Abandon | 37 | 3 | 0 | No | No |
| 17049568 | FILESYSTEMS | October 2020 | April 2022 | Abandon | 18 | 1 | 0 | No | No |
| 17069970 | CONCEPTUAL, CONTEXTUAL, AND SEMANTIC-BASED RESEARCH SYSTEM AND METHOD | October 2020 | July 2023 | Abandon | 33 | 2 | 0 | No | No |
| 17014395 | LIVE VIDEO RECOMMENDATION BY AN ONLINE SYSTEM | September 2020 | March 2022 | Allow | 18 | 1 | 0 | Yes | No |
| 16983890 | Collaborative-Filtered Content Recommendations With Justification in Real-Time | August 2020 | August 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16925528 | METHOD FOR PROVIDING RELATIONAL DECENTRALIZED IDENTIFIER SERVICE AND BLOCKCHAIN NODE USING THE SAME | July 2020 | March 2022 | Allow | 20 | 4 | 0 | Yes | No |
| 16921226 | RECURSIVE FUNCTIONALITY IN RELATIONAL DATABASE SYSTEMS | July 2020 | May 2023 | Allow | 34 | 3 | 0 | No | No |
| 16885495 | TARGETLESS SNAPSHOT VIRTUAL REPLICATION DATA POINTER TABLE | May 2020 | December 2023 | Allow | 42 | 3 | 0 | No | No |
| 16870003 | TECHNOLOGIES FOR PERFORMING STOCHASTIC SIMILARITY SEARCHES IN AN ONLINE CLUSTERING SPACE | May 2020 | November 2022 | Allow | 30 | 2 | 0 | Yes | No |
| 16816428 | LOGICAL PATHS FOR UNIFIED FILE AND BLOCK DATA STORAGE | March 2020 | June 2023 | Allow | 39 | 3 | 0 | No | No |
| 16780862 | HANDLING FAULTED DATABASE TRANSACTION RECORDS | February 2020 | September 2024 | Allow | 55 | 4 | 0 | No | No |
| 16774629 | DATA STORAGE AND CALLING METHODS AND DEVICES | January 2020 | January 2022 | Allow | 24 | 4 | 0 | Yes | No |
| 16699410 | MACHINE LEARNING INFERENCE CALLS FOR DATABASE QUERY PROCESSING | November 2019 | December 2023 | Allow | 49 | 3 | 0 | Yes | No |
| 16684280 | Methods and Systems for Identifying and Retrieving Hierarchically Related Files | November 2019 | October 2022 | Allow | 35 | 2 | 0 | No | No |
| 16674555 | STORAGE MANAGEMENT SYSTEM AND METHOD | November 2019 | December 2022 | Allow | 37 | 4 | 0 | Yes | No |
| 16672059 | KEYWORD RANKING FOR QUERY AUTO-COMPLETION BASED ON PRODUCT SUPPLY AND DEMAND | November 2019 | January 2022 | Allow | 27 | 2 | 0 | Yes | No |
| 16667189 | DOCUMENT SIMILARITY THROUGH REFERENCE LINKS | October 2019 | November 2024 | Allow | 60 | 4 | 0 | Yes | Yes |
| 16588155 | NATURAL LANGUAGE INTERFACE TO DATABASES | September 2019 | May 2023 | Allow | 44 | 3 | 0 | Yes | No |
| 16580637 | STATEFUL CONTAINER MIGRATION | September 2019 | July 2021 | Allow | 22 | 1 | 0 | Yes | No |
| 16578166 | ASSOCIATING USER-PROVIDED CONTENT ITEMS TO INTEREST NODES | September 2019 | July 2024 | Allow | 58 | 4 | 0 | No | No |
| 16560792 | METHOD AND APPARATUS FOR SEARCHING FOR SIMILAR PATENT BASED ON ELEMENT ALIGNMENT | September 2019 | August 2024 | Abandon | 59 | 4 | 0 | No | No |
| 16445408 | TERM-UID GENERATION, MAPPING AND LOOKUP | June 2019 | June 2023 | Abandon | 48 | 1 | 0 | No | No |
| 16406267 | DETERMINING AN ASSOCIATION METRIC FOR RECORD ATTRIBUTES ASSOCIATED WITH CARDINALITIES THAT ARE NOT NECESSARILY THE SAME FOR TRAINING AND APPLYING AN ENTITY RESOLUTION MODEL | May 2019 | October 2023 | Allow | 53 | 3 | 0 | Yes | No |
| 16369582 | SCALING HDFS FOR HIVE | March 2019 | September 2022 | Allow | 42 | 3 | 0 | Yes | No |
| 16369550 | SYSTEM AND METHOD FOR EXECUTING SERVICE REQUEST | March 2019 | November 2023 | Allow | 56 | 5 | 0 | Yes | No |
| 16291022 | METHOD, ELECTRONIC DEVICE AND COMPUTER PROGRAM PRODUCT FOR DATA PROCESSING | March 2019 | February 2022 | Allow | 35 | 2 | 0 | No | No |
| 16222775 | Transparent Database Session Recovery With Client-Side Caching | December 2018 | January 2023 | Allow | 49 | 5 | 0 | Yes | No |
| 16222003 | APPLET MANAGEMENT DEVICE AND METHOD | December 2018 | June 2021 | Abandon | 30 | 2 | 0 | No | No |
| 16213815 | WRITING DATA TO AN LSM TREE FILE STRUCTURE USING CONSISTENT CACHE STAGING | December 2018 | December 2022 | Allow | 48 | 3 | 0 | Yes | No |
| 16188239 | Automated Detection of Duplicate Content in Media Items | November 2018 | January 2023 | Allow | 50 | 4 | 0 | Yes | No |
| 16300943 | COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR COMPETENCY INFORMATION MANAGEMENT | November 2018 | September 2021 | Allow | 34 | 1 | 0 | No | No |
| 16179587 | EMOJI CLASSIFIER | November 2018 | April 2022 | Abandon | 42 | 4 | 0 | Yes | No |
| 16168129 | USING MACHINE LEARNING TO DETERMINE ELECTRONIC DOCUMENT SIMILARITY | October 2018 | December 2021 | Allow | 38 | 4 | 0 | Yes | No |
| 16054966 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR ESTABLISHING ERROR CORRECTION MODEL BASED ON ERROR CORRECTION PLATFORM | August 2018 | December 2023 | Abandon | 60 | 5 | 0 | No | No |
| 16035462 | METHOD AND SYSTEM FOR MANAGING RESOURCE OBJECT | July 2018 | September 2021 | Abandon | 38 | 2 | 0 | No | No |
| 16061707 | METHODS AND APPARATUSES FOR PROCESSING BIOMETRIC RESPONSES TO MULTIMEDIA CONTENT | June 2018 | December 2020 | Abandon | 30 | 1 | 0 | No | No |
| 16007976 | FACILITATING SPATIAL INDEXING ON DISTRIBUTED KEY-VALUE STORES | June 2018 | June 2022 | Allow | 48 | 4 | 0 | Yes | No |
| 16008021 | Refined Search With Machine Learning | June 2018 | September 2022 | Allow | 51 | 5 | 0 | Yes | No |
| 15955681 | DATABASE TRANSACTION LOG WRITING AND INTEGRITY CHECKING | April 2018 | May 2021 | Allow | 37 | 2 | 0 | Yes | No |
| 15955092 | INFORMATION ACCESS IN A GRAPH DATABASE | April 2018 | February 2021 | Allow | 34 | 3 | 0 | Yes | No |
| 15955600 | DOCUMENT DISTRIBUTION IN A GRAPH DATABASE | April 2018 | March 2021 | Allow | 35 | 3 | 0 | Yes | No |
| 15955573 | SYSTEMS AND METHODS FOR CENTRALIZED DATABASE CLUSTER MANAGEMENT | April 2018 | January 2021 | Allow | 33 | 2 | 0 | Yes | No |
| 15955550 | SYSTEM AND METHOD FOR MANAGING VOLUMES OF DATA IN A BLOCK STORAGE SYSTEM | April 2018 | September 2020 | Allow | 29 | 2 | 0 | Yes | No |
| 15940240 | Data-Driven Reduction of Log Message Data | March 2018 | October 2020 | Allow | 30 | 2 | 0 | Yes | No |
| 15940247 | Real-Time Compression of Log Data | March 2018 | March 2021 | Allow | 36 | 3 | 0 | Yes | No |
| 15940302 | CONSTRUCTING AN INVERTED INDEX | March 2018 | April 2021 | Allow | 37 | 2 | 0 | No | No |
| 15909328 | HEURISTIC FOR THE DATA CLUSTERING PROBLEM | March 2018 | October 2020 | Abandon | 31 | 1 | 0 | Yes | No |
| 15908596 | BOT NETWORKS | February 2018 | January 2021 | Allow | 35 | 3 | 0 | Yes | No |
| 15908496 | STATISTICAL PROCESSING OF NATURAL LANGUAGE QUERIES OF DATA SETS | February 2018 | October 2021 | Allow | 43 | 4 | 0 | Yes | No |
| 15908493 | INTEREST EMBEDDING VECTORS | February 2018 | June 2021 | Allow | 39 | 4 | 0 | Yes | No |
| 15908559 | AUDIENCE FILTERING SYSTEM | February 2018 | August 2020 | Allow | 30 | 4 | 0 | Yes | No |
| 15577458 | METHOD, APPARATUS AND COMPUTER PROGRAM FOR DISPLAYING SEARCH INFORMATION | November 2017 | November 2021 | Allow | 48 | 5 | 0 | No | No |
| 15822522 | SYSTEM AND METHOD FOR FINDING SIMILAR DOCUMENTS BASED ON SEMANTIC FACTUAL SIMILARITY | November 2017 | June 2023 | Allow | 60 | 7 | 0 | No | No |
| 15822391 | SYSTEM AND METHOD FOR AUTOMATICALLY PROVIDING ALTERNATIVE POINTS OF VIEW FOR MULTIMEDIA CONTENT | November 2017 | October 2020 | Allow | 35 | 4 | 0 | Yes | No |
| 15823275 | ONTOLOGY REFINEMENT BASED ON QUERY INPUTS | November 2017 | June 2020 | Allow | 30 | 2 | 0 | Yes | No |
| 15823256 | LIVE VIDEO RECOMMENDATION BY AN ONLINE SYSTEM | November 2017 | June 2020 | Allow | 31 | 3 | 0 | Yes | No |
| 15823239 | NATURAL LANGUAGE PROCESSING OF UNSTRUCTURED DATA | November 2017 | November 2023 | Allow | 60 | 6 | 0 | No | Yes |
| 15823331 | Collaborative-Filtered Content Recommendations With Justification in Real-Time | November 2017 | April 2020 | Allow | 29 | 2 | 0 | Yes | No |
| 15823097 | NORMALIZING COMPOUND ARTIFACT DEPENDENCY DATA | November 2017 | May 2020 | Allow | 29 | 1 | 0 | No | No |
| 15822055 | Distributed Ledger Registry System | November 2017 | March 2020 | Abandon | 27 | 1 | 0 | No | No |
| 15821658 | Conflict Resolution in a Data Proxy | November 2017 | May 2021 | Allow | 42 | 4 | 0 | Yes | No |
| 15656338 | METADATA SEPARATED CONTAINER FORMAT | July 2017 | June 2022 | Allow | 59 | 5 | 0 | No | No |
| 15656168 | Online Metadata Backup Consistency Check | July 2017 | May 2020 | Allow | 34 | 1 | 0 | Yes | No |
| 15656286 | AUTOMATED SERVER DISCOVERY | July 2017 | December 2021 | Allow | 53 | 4 | 0 | No | No |
| 15499218 | INFORMATION PROCESSING DEVICE, METHOD, AND MEDIUM | April 2017 | August 2020 | Allow | 39 | 2 | 0 | Yes | No |
| 15405996 | Data Replication Method, Apparatus, and System | January 2017 | April 2021 | Allow | 51 | 3 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SHARPLESS, SAMUEL.
With a 100.0% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 33.3% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner SHARPLESS, SAMUEL works in Art Unit 2166 and has examined 68 patent applications in our dataset. With an allowance rate of 82.4%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 37 months.
Examiner SHARPLESS, SAMUEL's allowance rate of 82.4% places them in the 56% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by SHARPLESS, SAMUEL receive 2.94 office actions before reaching final disposition. This places the examiner in the 82% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by SHARPLESS, SAMUEL is 37 months. This places the examiner in the 32% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +30.7% benefit to allowance rate for applications examined by SHARPLESS, SAMUEL. This interview benefit is in the 77% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 28.7% of applications are subsequently allowed. This success rate is in the 55% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 23.3% of cases where such amendments are filed. This entry rate is in the 32% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
This examiner withdraws rejections or reopens prosecution in 66.7% of appeals filed. This is in the 48% percentile among all examiners. Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 36.4% are granted (fully or in part). This grant rate is in the 23% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 11% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 13% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.