{"id":"https://openalex.org/W2109583764","doi":"https://doi.org/10.1109/fskd.2011.6019737","title":"Re-ranking search results using semantic similarity","display_name":"Re-ranking search results using semantic similarity","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2109583764","doi":"https://doi.org/10.1109/fskd.2011.6019737","mag":"2109583764"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"},"type":"article","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/A5100600016","display_name":"Ruofan Wang","orcid":"https://orcid.org/0009-0000-8236-1122"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruofan Wang","raw_affiliation_strings":["Department of Machine Intelligence, Peking University, Beijing, China","Department of Machine Intelligence, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101993753","display_name":"Shan Jiang","orcid":"https://orcid.org/0000-0002-1067-2519"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Jiang","raw_affiliation_strings":["Ministry of Education, Key Laboratory on Machine Perception, Beijing, China","Department of Machine Intelligence, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Key Laboratory on Machine Perception, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456377","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0003-1585-0801"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Ucap Corporation, Guangdong, China","Department of Machine Intelligence, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Ucap Corporation, Guangdong, China","institution_ids":[]},{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100340891","display_name":"Min Wang","orcid":"https://orcid.org/0000-0002-1580-6387"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["Ucap Corporation, Guangdong, China","Department of Machine Intelligence, Peking University, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"Ucap Corporation, Guangdong, China","institution_ids":[]},{"raw_affiliation_string":"Department of Machine Intelligence, Peking University, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100600016"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.2168,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.91005739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1047","last_page":"1051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9951000213623047,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9951000213623047,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9927999973297119,"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/T11106","display_name":"Data Management and Algorithms","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.8171825408935547},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8156646490097046},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6794730424880981},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6718554496765137},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6511993408203125},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.62995845079422},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.615249752998352},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5171458125114441},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.4508700668811798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4087934195995331},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35221725702285767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09372055530548096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8171825408935547},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8156646490097046},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6794730424880981},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6718554496765137},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6511993408203125},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.62995845079422},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.615249752998352},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5171458125114441},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.4508700668811798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4087934195995331},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35221725702285767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09372055530548096},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1985554184","https://openalex.org/W2022944081","https://openalex.org/W2028122423","https://openalex.org/W2056105869","https://openalex.org/W2058553017","https://openalex.org/W2069870183","https://openalex.org/W2090912237","https://openalex.org/W2096959015","https://openalex.org/W2116442280","https://openalex.org/W2137675680","https://openalex.org/W2158822488","https://openalex.org/W2534712034","https://openalex.org/W4237977885","https://openalex.org/W4251560691","https://openalex.org/W6664727077","https://openalex.org/W6683275658"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2387658907","https://openalex.org/W2922169395","https://openalex.org/W25098770","https://openalex.org/W2367099342"],"abstract_inverted_index":{"In":[0,75],"this":[1,64],"paper,":[2],"we":[3,57,70,78],"propose":[4],"a":[5,106],"re-ranking":[6,84],"method":[7,94],"which":[8],"employs":[9],"semantic":[10,31,60],"similarity":[11,61],"to":[12,39,49,81,105],"improve":[13,97],"the":[14,21,34,37,41,46,59,72,76,83,87,98],"quality":[15],"of":[16],"search":[17,27,99],"results.":[18,42],"We":[19,43],"fetch":[20],"top":[22],"N":[23],"results":[24,85,89],"returned":[25],"by":[26],"engine,":[28],"and":[29,36,68,86,101],"use":[30,79],"similarities":[32],"between":[33],"candidate":[35],"query":[38],"re-rank":[40],"first":[44],"convert":[45],"ranking":[47],"position":[48],"an":[50],"importance":[51,66],"score":[52,62,67],"for":[53],"each":[54],"candidate.":[55],"Then":[56],"combine":[58],"with":[63],"initial":[65],"finally":[69],"get":[71],"new":[73],"ranks.":[74],"experiment,":[77],"NDCG":[80],"evaluate":[82],"experimental":[88],"validate":[90],"that":[91],"our":[92],"proposed":[93],"can":[95],"indeed":[96],"performance":[100],"meet":[102],"users'":[103],"need":[104],"certain":[107],"extent.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}