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Google Ranking Algorithm Research Introduces TW-BERT

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

Marc Najork , Scalable Tensorflow Library For , Research Engineering At 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 ,

New Designs to Fix the Search Engine Bias Problem

Jan 29, 2022 // Tech companies looking to design next-gen search engines tout the potential of natural language processing (NLP), where GPT-3 leads the field. Yet research shows for all this promise, daunting bias challenges remain. DisinfoLab's directors discuss potential ways to mitigate the bias dilemma. ....

College Of William Mary Global Research Institute , Rethinking Search , Making Domain Experts , Natural Language , Global Research Institute , Google Search , Review Article ,