Semanlink - [2004.06842] Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph

[2004.06842] Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph

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Au sujet de ce document

sl:arxiv_author :
sl:arxiv_firstAuthor : Chien-Chun Ni
sl:arxiv_num : 2004.06842
sl:arxiv_published : 2020-04-15T00:49:27Z
sl:arxiv_summary : In this paper, we describe an embedding-based entity recommendation framework for Wikipedia that organizes Wikipedia into a collection of graphs layered on top of each other, learns complementary entity representations from their topology and content, and combines them with a lightweight learning-to-rank approach to recommend related entities on Wikipedia. Through offline and online evaluations, we show that the resulting embeddings and recommendations perform well in terms of quality and user engagement. Balancing simplicity and quality, this framework provides default entity recommendations for English and other languages in the Yahoo! Knowledge Graph, which Wikipedia is a core subset of.@en
sl:arxiv_title : Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph@en
sl:arxiv_updated : 2020-04-15T00:49:27Z
sl:bookmarkOf : https://arxiv.org/abs/2004.06842
sl:creationDate : 2020-04-17
sl:creationTime : 2020-04-17T19:14:01Z

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Bookmark of: https://arxiv.org/abs/2004.06842

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