Contextual estimation of link information gain
Topics: Freshness, Information Gain, Probably in use, Ranking, Reranking, Scoring, Semantic Search, User Signals
Contextual estimation of link information gain involves identifying and ranking documents based on how much new information they provide compared to what a user has already seen. This helps users quickly find the most useful documents without redundancy. The process uses machine learning to score and prioritize documents based on the additional insights they offer.
- In the provided patent, techniques are described for determining the information gain score of documents based on their relevance to a user’s query or interests.
- This involves identifying sets of documents, determining which ones offer new information beyond what the user has already seen, and presenting them accordingly.
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