Only for SEO Research Suite member Selecting an algorithm for identifying similar user identifiers based on predicted click-through-rate Topics: Personalization, User Signals
Only for SEO Research Suite member Machine learning models as a differentiable search index for directly predicting resource retrieval results Topics: AI (Deep Learning), Indexing, Probably in use, Ranking, User Signals
Only for SEO Research Suite member Using user input to adapt search results provided for presentation to the user Topics: AI (Deep Learning), Personalization, Probably in use, Ranking, User Signals
Only for SEO Research Suite member Stochastic Retrieval-Conditioned Reranking Topics: Information Gain, Learning-to-rank, Ranking, Reranking, User Signals
Only for SEO Research Suite member ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference Topics: AI (Deep Learning), Ranking, Reranking, Scoring, User Signals
Only for SEO Research Suite member Search entity transition matrix and applications of the transition matrix Topics: Document Classification, E-E-A-T, Ranking, Semantic Search, User Signals
Only for SEO Research Suite member Pattern-based classification Topics: Probably in use, User Signals
Only for SEO Research Suite member Understanding Documentation Use Through Log Analysis Topics: Navboost, Ranking, User Signals
Only for SEO Research Suite member Document scoring based on traffic associated with a document Topics: Backlinks, Freshness, Probably in use, Ranking, User Signals
Only for SEO Research Suite member Methods and apparatus for ranking documents Topics: Document Classification, E-E-A-T, Entity based search, Freshness, Jeff Dean, Ranking, User Signals
