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Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding
2017
Proceedings of the 26th International Conference on World Wide Web - WWW '17
This paper introduces Explicit Semantic Ranking (ESR), a new ranking technique that leverages knowledge graph embedding. Analysis of the query log from our academic search engine, SemanticScholar.org, reveals that a major error source is its inability to understand the meaning of research concepts in queries. To addresses this challenge, ESR represents queries and documents in the entity space and ranks them based on their semantic connections from their knowledge graph embedding. Experiments
doi:10.1145/3038912.3052558
dblp:conf/www/XiongPC17
fatcat:a4fbcdymcvejjkimvsg3r3onry