PATENT CLAIM ANALYSIS

Application Number: 15979949
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["707", "748000"]

Abstract:
A newsfeed generation system generates feeds of content items related to specific topics. The newsfeed generation system receives content items from one or more content sources, and matches the content items to topics based on a measure of affinity of each content item for one or more objects in a database that are associated with various topics. Content items associated with an object associated with a topic are included in a feed of content items associated with the topic.

Claim (Index 1):
A computer-implemented method comprising:\n storing a plurality of objects in a database of an online system, each object associated with at least one topic; receiving content items from one or more content sources, the content items each including text; for each received content item:\n identifying a set of candidate objects stored within the database of the online system; \n determining measures of affinity between the content item and each of the set of candidate objects based on one or more match keys and one or more negative match keys, each match comprising a term or phrase that can identify the object and each negative match key comprising a term or phrase that does not identify the object; and \n associating the content item with at least one candidate object based at least in part on the measures of affinity between the content item and the at least one candidate object; and \n generating a feed for a topic, the feed including content items received from one or more of the content sources and associated with one or more candidate objects stored by the online system that are associated with the topic.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.76596
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14298803', '14553591', '15436747', '15095007', '15645799']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2163425746922042
- 35 USC 102 Novelty (BERT): 0.5531373038375114
- Combined Prediction Score: 0.2500220476067349
- Mean Citation Score: 275.324998
- Max Citation Score: 441.8171
- Similarity Product: 355.1029793545127

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

Dataset: test