PATENT CLAIM ANALYSIS

Application Number: 16019453
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["707", "734000"]

Abstract:
Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for integrating user-specific context indicators into a searchable enterprise platform. In one embodiment, an apparatus is configured to apply a learned user profile, to a set of search results to obtain a user-specific, ranked arrangement of search results. The learned user profile may be developed through the application of a machine learning and/or trained model to a set of user behaviors that have been determined or otherwise detected within an enterprise platform, such that the user-specific context in which a user's search arises can be modeled and applied to retrieved digital content items associated with a search query within the enterprise platform.

Claim (Index 8):
The method of  claim 6 , wherein the set of learned user profile values associated with the learned user profile comprise at least one of: a user content consumption history and a user role within an entity associated with the enterprise platform.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 94.0
- Lexical Diversity: 1.61538
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15633640', '15633598', '11770027', '15156399', '12873622']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2320277275041653
- 35 USC 102 Novelty (BERT): 0.5295389770549414
- Combined Prediction Score: 0.2617788524592429
- Mean Citation Score: 227.500872
- Max Citation Score: 366.5972
- Similarity Product: 259.97129596271515

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test