{"id":"https://openalex.org/W2008117759","doi":"https://doi.org/10.1109/nlpke.2010.5587859","title":"Weakly supervised relevance feedback based on an improved language model","display_name":"Weakly supervised relevance feedback based on an improved language model","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2008117759","doi":"https://doi.org/10.1109/nlpke.2010.5587859","mag":"2008117759"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2010.5587859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2010.5587859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5070127662","display_name":"Xinsheng Li","orcid":"https://orcid.org/0000-0001-8186-1686"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Sheng Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053912626","display_name":"Si Li","orcid":"https://orcid.org/0000-0002-7738-4095"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001956210","display_name":"Weiran Xu","orcid":"https://orcid.org/0000-0002-7988-080X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Ran Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101684449","display_name":"Guang Chen","orcid":"https://orcid.org/0000-0001-6644-9618"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681090","display_name":"Jun Guo","orcid":"https://orcid.org/0000-0003-2025-3024"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13419623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994000196456909,"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":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955000281333923,"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-feedback","display_name":"Relevance feedback","score":0.9332916140556335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8632645606994629},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.8354294300079346},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7140192985534668},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.699493408203125},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.603851318359375},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5870733857154846},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.4215278923511505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3750095069408417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3356974422931671},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32003092765808105},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.22169867157936096}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.9332916140556335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8632645606994629},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8354294300079346},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7140192985534668},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.699493408203125},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.603851318359375},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5870733857154846},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.4215278923511505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3750095069408417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3356974422931671},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32003092765808105},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.22169867157936096},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2010.5587859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2010.5587859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1989885825","https://openalex.org/W1993691599","https://openalex.org/W2070740689","https://openalex.org/W2104049510","https://openalex.org/W2134557008","https://openalex.org/W2482821414","https://openalex.org/W4393074830"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2460037195","https://openalex.org/W2134013435"],"abstract_inverted_index":{"Relevance":[0,32],"feedback,":[1],"which":[2],"traditionally":[3],"uses":[4],"the":[5,8,13,40,46,50,74,79,109,119,132],"terms":[6,38,65,111],"in":[7,39,61,67],"relevant":[9,91,114],"documents":[10,42,92],"to":[11,73,78,86,105],"enrich":[12],"user's":[14],"initial":[15],"query,":[16],"is":[17,30,136],"an":[18,101],"effective":[19],"method":[20],"for":[21,45],"improving":[22],"retrieval":[23,125],"performance.":[24],"This":[25],"approach":[26],"has":[27],"another":[28],"problem":[29],"that":[31,35,56,124],"feedback":[33,41],"assumes":[34],"most":[36],"frequent":[37],"are":[43,70],"useful":[44],"retrieval.":[47,80],"In":[48,81],"fact,":[49],"reports":[51],"of":[52],"some":[53],"experiments":[54,117],"show":[55,123],"it":[57],"does":[58],"not":[59],"hold":[60],"reality":[62],"many":[63],"expansion":[64],"identified":[66],"traditional":[68],"approaches":[69],"indeed":[71],"unrelated":[72],"query":[75],"and":[76,89],"harmful":[77],"this":[82],"paper,":[83],"we":[84,99],"propose":[85],"select":[87],"better":[88],"more":[90],"with":[93],"a":[94],"clustering":[95],"algorithm.":[96],"And":[97],"then":[98],"present":[100],"improved":[102,130,133],"Language":[103,134],"Model":[104,135],"help":[106],"us":[107],"identify":[108],"good":[110],"from":[112],"those":[113],"documents.":[115],"Ours":[116],"on":[118],"2008":[120],"TREC":[121],"collection":[122],"effectiveness":[126],"can":[127],"be":[128],"much":[129],"when":[131],"used.":[137]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}