Google Ranking Algorithm Research Introduces TW-BERT : vimar

Google research paper describes a remarkable framework called TW-BERT that improves search ranking without requiring major changes

Related Keywords

Marc Najork , Scalable Tensorflow Library For , Research Engineering At Google , Google , Research Scientist At Google Deepmind , Term Weighting , Distinguished Research Scientist , Google Deepmind , Senior Director , Research Engineering , Optimizing Topk Metrics , Neural Ranking Models , Language Models , Continuously Evolving Content , Making Domain Experts , Text Matching , Long Form Documents , Scalable Tensorflow Library , Lambdaloss Framework , Ranking Metric Optimization , Selection Bias , Personal Search , Two Information Retrieval , Weighted Retrieval ,