PATENT CLAIM ANALYSIS

Application Number: 15958352
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["725", "014000"]

Abstract:
An audience measurement service may monitor broadcasts in a region, ingesting closed captioning data, metadata, displayed text or logos, performing facial recognition on people, and/or generating audio/video fingerprints of broadcast content to create a database of content and associated keywords, along with times at which the content was broadcast. The audience measurement service may receive user search queries from a search provider and detect “spiking” queries. The audience measurement service may determine whether the spiking queries are related, contextually and temporally, to an item of content identified in the database, and infer that users generating the queries likely viewed the item of content. In some implementations, the audience measurement service may also infer that the users likely viewed other items of content (e.g. advertisements) displayed during the prior or subsequent few minutes on the same broadcast channel as the query-triggering item.

Claim (Index 25):
The method of  claim 21 , further comprising receiving, by the audience measurement server from a search service, a log of search queries received by the search service and corresponding to device identifiers of devices transmitting search queries.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 1.77778
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14556317', '14622542', '14636943', '15299030', '14874921']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5196689174651524
- 35 USC 102 Novelty (BERT): 0.5523547980115773
- Combined Prediction Score: 0.5229375055197949
- Mean Citation Score: 352.073428
- Max Citation Score: 453.04593
- Similarity Product: 293.74480457080006

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