Publication: Relevance feedback exploiting query-specific document manifolds
dc.contributor.coauthor | Wang, Chang | |
dc.contributor.coauthor | Szummer, Martin | |
dc.contributor.kuauthor | Yılmaz, Emine | |
dc.date.accessioned | 2024-11-09T23:05:37Z | |
dc.date.issued | 2011 | |
dc.description.abstract | We incorporate relevance feedback into a learning to rank framework by exploiting query-specific document similarities. Given a few judged feedback documents and many retrieved but unjudged documents for a query, we learn a function that adjusts the initial ranking score of each document. Scores are fit so that documents with similar term content get similar scores, and scores of judged documents are close to their labels. By such smoothing along the manifold of retrieved documents, we avoid overfitting, and can therefore learn a detailed query-specific scoring function with several dozen term weights. | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | Special Interest Group on Information Retrieval (ACM SIGIR) | |
dc.description.sponsorship | ACM SIGWEB | |
dc.identifier.doi | 10.1145/2063576.2063864 | |
dc.identifier.isbn | 9781-4503-0717-8 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-83055186801 | |
dc.identifier.uri | https://doi.org/10.1145/2063576.2063864 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/8842 | |
dc.keywords | Manifold learning | |
dc.keywords | Relevance feedback document similarity | |
dc.keywords | Feedback documents | |
dc.keywords | Learning to rank | |
dc.keywords | Manifold learning | |
dc.keywords | Overfitting | |
dc.keywords | Relevance feedback | |
dc.keywords | Retrieved documents | |
dc.keywords | Scoring functions | |
dc.keywords | Term weight | |
dc.keywords | Knowledge management | |
dc.keywords | Feedback | |
dc.language.iso | eng | |
dc.publisher | ACM | |
dc.relation.ispartof | International Conference on Information and Knowledge Management, Proceedings | |
dc.subject | Computer engineering | |
dc.title | Relevance feedback exploiting query-specific document manifolds | |
dc.title.alternative | Çeşitleme birleşimli güç kontrollü MIMO-MAC kanal kapasitesi | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Yılmaz, Emine |