O
Oren Kurland
Researcher at Technion – Israel Institute of Technology
Publications - 114
Citations - 3053
Oren Kurland is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Relevance (information retrieval) & Ranking (information retrieval). The author has an hindex of 26, co-authored 110 publications receiving 2718 citations. Previous affiliations of Oren Kurland include Cornell University.
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Proceedings ArticleDOI
Query Expansion Using Word Embeddings
TL;DR: A suite of query expansion methods that are based on word embeddings that use the CBOW embedding approach to select terms that are semantically related to the query and integrate them with the effective pseudo-feedback-based relevance model.
Posted Content
PageRank without hyperlinks: Structural re-ranking using links induced by language models
Oren Kurland,Lillian Lee +1 more
TL;DR: A number of re-ranking criteria based on measures of centrality in the graphs formed by generation links are studied, and it is shown that integrating centrality into standard language-model-based retrieval is quite effective at improving precision at top ranks.
Proceedings ArticleDOI
PageRank without hyperlinks: structural re-ranking using links induced by language models
Oren Kurland,Lillian Lee +1 more
TL;DR: This paper proposed a structural re-ranking approach to ad hoc information retrieval, which reorder the documents in an initially retrieved set by exploiting asymmetric relationships between them, and showed that integrating centrality into standard language-model-based retrieval is quite effective at improving precision at top ranks.
Proceedings ArticleDOI
Corpus structure, language models, and ad hoc information retrieval
Oren Kurland,Lillian Lee +1 more
TL;DR: A novel algorithmic framework is proposed in which information provided by document-based language models is enhanced by the incorporation of information drawn from clusters of similar documents, and a suite of new algorithms are developed.
Posted Content
Corpus structure, language models, and ad hoc information retrieval
Oren Kurland,Lillian Lee +1 more
TL;DR: This article proposed a novel algorithmic framework in which information provided by document-based language models is enhanced by the incorporation of information drawn from clusters of similar documents, and developed a suite of new algorithms.