{"id":"https://openalex.org/W3004147752","doi":"https://doi.org/10.5555/1953048.2021047","title":"Learning a Robust Relevance Model for Search Using Kernel Methods","display_name":"Learning a Robust Relevance Model for Search Using Kernel Methods","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W3004147752","doi":"https://doi.org/10.5555/1953048.2021047","mag":"3004147752"},"language":"en","primary_location":{"id":"mag:3004147752","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1953048.2021047","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000325137","display_name":"WuWei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"WuWei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055515450","display_name":"XuJun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"XuJun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025909123","display_name":"LiHang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"LiHang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069653715","display_name":"OyamaSatoshi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"OyamaSatoshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5178,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90078083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6180999875068665,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6180999875068665,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.5827000141143799,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.5209000110626221,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7963849306106567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294228672981262},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.6790693998336792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5547253489494324},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5154793858528137},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.51255202293396},{"id":"https://openalex.org/keywords/divergence-from-randomness-model","display_name":"Divergence-from-randomness model","score":0.49001017212867737},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4692646861076355},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.457690566778183},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4490613639354706},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.44252967834472656},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4224802255630493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4071565866470337},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.32593923807144165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2104455828666687},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.2011200189590454},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.13635289669036865}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7963849306106567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294228672981262},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.6790693998336792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547253489494324},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5154793858528137},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.51255202293396},{"id":"https://openalex.org/C149189445","wikidata":"https://www.wikidata.org/wiki/Q5283894","display_name":"Divergence-from-randomness model","level":3,"score":0.49001017212867737},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4692646861076355},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.457690566778183},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4490613639354706},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.44252967834472656},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4224802255630493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4071565866470337},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.32593923807144165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2104455828666687},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.2011200189590454},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.13635289669036865},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3004147752","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1953048.2021047","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1924059391","https://openalex.org/W2126053020","https://openalex.org/W1552863221","https://openalex.org/W41491508","https://openalex.org/W152828610","https://openalex.org/W2155482025","https://openalex.org/W3034852973","https://openalex.org/W2383133681","https://openalex.org/W2163199688","https://openalex.org/W1966093341","https://openalex.org/W2108903064","https://openalex.org/W2111367331","https://openalex.org/W1542365440","https://openalex.org/W38610358","https://openalex.org/W2026715611","https://openalex.org/W2035811544","https://openalex.org/W63498847","https://openalex.org/W1586561614","https://openalex.org/W2415356778","https://openalex.org/W115448565"],"abstract_inverted_index":{"This":[0],"paper":[1],"points":[2],"out":[3],"that":[4],"many":[5],"search":[6],"relevance":[7],"models":[8],"in":[9],"information":[10],"retrieval,":[11],"such":[12],"as":[13,28],"the":[14],"Vector":[15],"Space":[16],"Model,":[17],"BM25":[18],"and":[19],"Language":[20],"Models":[21],"for":[22],"Information":[23],"Retrieval,":[24],"can":[25],"be":[26],"viewed":[27],"a":[29],"similarity":[30],"f...":[31]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2025-10-10T00:00:00"}