{"id":163000,"date":"2011-01-01T00:00:00","date_gmt":"2011-01-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/diverse-retrieval-via-greedy-optimization-of-expected-1-callk-in-a-latent-subtopic-relevance-model\/"},"modified":"2018-10-16T21:19:37","modified_gmt":"2018-10-17T04:19:37","slug":"diverse-retrieval-via-greedy-optimization-of-expected-1-callk-in-a-latent-subtopic-relevance-model","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/diverse-retrieval-via-greedy-optimization-of-expected-1-callk-in-a-latent-subtopic-relevance-model\/","title":{"rendered":"Diverse Retrieval via Greedy Optimization of Expected 1-call@k in a Latent Subtopic Relevance Model"},"content":{"rendered":"<div class=\"asset-content\">\n<p>It has been previously observed that optimization of the 1-call@k relevance objective (i.e., a set-based objective that is 1 if at least one document is relevant, otherwise 0) empirically correlates with diverse retrieval. In this paper, we proceed one step further and show theoretically that greedily optimizing expected 1-call@k w.r.t. a latent subtopic model of binary relevance leads to a diverse retrieval algorithm sharing many features of existing diversification approaches. This new result is complementary to a variety of diverse retrieval algorithms derived from alternate rank-based relevance criteria such as average precision and reciprocal rank. As such, the derivation presented here for expected 1-call@k provides a novel theoretical perspective on the emergence of diversity via a latent subtopic model of relevance \u2014 an idea underlying both ambiguous and faceted subtopic retrieval that have been used to motivate diverse retrieval.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>It has been previously observed that optimization of the 1-call@k relevance objective (i.e., a set-based objective that is 1 if at least one document is relevant, otherwise 0) empirically correlates with diverse retrieval. In this paper, we proceed one step further and show theoretically that greedily optimizing expected 1-call@k w.r.t. a latent subtopic model of [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"ACM","msr_publisher_other":"","msr_booktitle":"In Proceedings of CIKM, 20th ACM Conference on Information and Knowledge Management","msr_chapter":"","msr_edition":"In Proceedings of CIKM, 20th ACM Conference on Information and Knowledge Management","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"In Proceedings of CIKM, 20th ACM Conference on Information and 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