{"id":"https://openalex.org/W2031812225","doi":"https://doi.org/10.1145/2806416.2806479","title":"Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs","display_name":"Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W2031812225","doi":"https://doi.org/10.1145/2806416.2806479","mag":"2031812225"},"language":"en","primary_location":{"id":"doi:10.1145/2806416.2806479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","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/A5048749901","display_name":"Jyun\u2010Yu Jiang","orcid":"https://orcid.org/0000-0002-1753-8099"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jyun-Yu Jiang","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc","National Taiwan University, Taipei, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375136","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0003-4690-1886"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090151187","display_name":"Chin-Yew Lin","orcid":"https://orcid.org/0000-0002-0798-6365"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Chin-Yew Lin","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071684622","display_name":"Pu\u2010Jen Cheng","orcid":"https://orcid.org/0000-0001-5892-0385"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pu-Jen Cheng","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc","National Taiwan University, Taipei, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1441","last_page":"1450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9983999729156494,"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":0.9983999729156494,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9962000250816345,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.880439281463623},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.8000988364219666},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7913116216659546},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7743596434593201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577104568481445},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.7105416059494019},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.6387657523155212},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6189520359039307},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4622919261455536},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.44134873151779175},{"id":"https://openalex.org/keywords/metasearch-engine","display_name":"Metasearch engine","score":0.4406869113445282},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3867867588996887},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2301870584487915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18352943658828735}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.880439281463623},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8000988364219666},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7913116216659546},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7743596434593201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577104568481445},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.7105416059494019},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.6387657523155212},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6189520359039307},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4622919261455536},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.44134873151779175},{"id":"https://openalex.org/C173979980","wikidata":"https://www.wikidata.org/wiki/Q114106","display_name":"Metasearch engine","level":4,"score":0.4406869113445282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3867867588996887},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2301870584487915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18352943658828735},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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":"doi:10.1145/2806416.2806479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1974360117","https://openalex.org/W1985514943","https://openalex.org/W1999740339","https://openalex.org/W2000300218","https://openalex.org/W2008733342","https://openalex.org/W2039697429","https://openalex.org/W2046968302","https://openalex.org/W2047221353","https://openalex.org/W2050882854","https://openalex.org/W2069997576","https://openalex.org/W2084261737","https://openalex.org/W2094728533","https://openalex.org/W2097443371","https://openalex.org/W2098700435","https://openalex.org/W2102029756","https://openalex.org/W2112726802","https://openalex.org/W2117684641","https://openalex.org/W2119207355","https://openalex.org/W2121243408","https://openalex.org/W2122654842","https://openalex.org/W2123937625","https://openalex.org/W2127799072","https://openalex.org/W2134131174","https://openalex.org/W2135500808","https://openalex.org/W2138605095","https://openalex.org/W2143331230","https://openalex.org/W2149490731","https://openalex.org/W2165321084","https://openalex.org/W2171806843","https://openalex.org/W2385656172","https://openalex.org/W4239181501"],"related_works":["https://openalex.org/W2013005009","https://openalex.org/W2292564116","https://openalex.org/W2031812225","https://openalex.org/W2156160882","https://openalex.org/W2140951215","https://openalex.org/W2967976110","https://openalex.org/W1543882761","https://openalex.org/W1544466691","https://openalex.org/W1512577780","https://openalex.org/W1139957764"],"abstract_inverted_index":{"In":[0],"this":[1,77],"paper,":[2],"we":[3],"propose":[4,97],"a":[5,98,151],"new":[6],"idea":[7],"called":[8],"ranking":[9,15,41,72,91,106,108,134,165,167,186],"consistency":[10,109],"in":[11,22,52,84,92],"web":[12,26,93],"search.":[13,94],"Relevance":[14],"is":[16,57,79],"one":[17],"of":[18,63,76,120,150],"the":[19,60,89,118,126,142,147,184],"biggest":[20],"problems":[21],"creating":[23],"an":[24],"effective":[25],"search":[27,34,54,61,68,85,115,153],"system.":[28],"Given":[29],"some":[30],"queries":[31,65],"with":[32,66,133],"similar":[33,67],"intents,":[35],"conventional":[36],"approaches":[37],"typically":[38],"only":[39],"optimize":[40],"models":[42],"by":[43,110,189],"each":[44],"query":[45],"separately.":[46],"Hence,":[47],"there":[48],"are":[49,180],"inconsistent":[50],"rankings":[51,83,132],"modern":[53],"engines.":[55],"It":[56],"expected":[58],"that":[59,159,178],"results":[62,86,157,187],"different":[64],"intents":[69],"should":[70],"preserve":[71],"consistency.":[73,135,168],"The":[74,155],"aim":[75],"paper":[78],"to":[80,102,129],"learn":[81],"consistent":[82,185],"for":[87],"improving":[88,130],"relevance":[90,105,131,164],"We":[95],"then":[96],"re-ranking":[99],"model":[100],"aiming":[101],"simultaneously":[103],"improve":[104],"and":[107,114,146,166,182],"leveraging":[111],"knowledge":[112,144],"bases":[113],"logs.":[116],"To":[117],"best":[119],"our":[121,123,160,190],"knowledge,":[122],"work":[124],"offers":[125],"first":[127],"solution":[128],"Extensive":[136],"experiments":[137],"have":[138],"been":[139],"conducted":[140],"using":[141],"Freebase":[143],"base":[145],"large-scale":[148],"query-log":[149],"commercial":[152],"engine.":[154],"experimental":[156],"show":[158,177],"approach":[161],"significantly":[162],"improves":[163],"Two":[169],"user":[170],"surveys":[171],"on":[172],"Amazon":[173],"Mechanical":[174],"Turk":[175],"also":[176],"users":[179],"sensitive":[181],"prefer":[183],"generated":[188],"model.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}