{"id":"https://openalex.org/W1973309015","doi":"https://doi.org/10.1145/2661829.2662078","title":"Transfer Understanding from Head Queries to Tail Queries","display_name":"Transfer Understanding from Head Queries to Tail Queries","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W1973309015","doi":"https://doi.org/10.1145/2661829.2662078","mag":"1973309015"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2662078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5020880385","display_name":"Yangqiu Song","orcid":"https://orcid.org/0000-0002-7818-6090"},"institutions":[{"id":"https://openalex.org/I183874917","display_name":"Urbana University","ror":"https://ror.org/04kp3hw27","country_code":"US","type":"education","lineage":["https://openalex.org/I183874917"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yangqiu Song","raw_affiliation_strings":["UIUC, Urbana, IL, USA","UIUC, Urbana, IL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"UIUC, Urbana, IL, USA","institution_ids":["https://openalex.org/I183874917"]},{"raw_affiliation_string":"UIUC, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I183874917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063351917","display_name":"Haixun Wang","orcid":"https://orcid.org/0009-0007-0773-7004"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haixun Wang","raw_affiliation_strings":["Google Research, Mountain View, USA","Google Research, Mountain View, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, Mountain View, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051745436","display_name":"Weizhu Chen","orcid":null},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weizhu Chen","raw_affiliation_strings":["Microsoft, Redmond, USA","Microsoft Redmond, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Redmond, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100661401","display_name":"Shusen Wang","orcid":"https://orcid.org/0000-0003-3928-6782"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shusen Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China","Zhejiang university, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang university, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020880385"],"corresponding_institution_ids":["https://openalex.org/I183874917"],"apc_list":null,"apc_paid":null,"fwci":4.7335,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94678518,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1299","last_page":"1308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9972000122070312,"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":0.9972000122070312,"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":0.991599977016449,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8421096801757812},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7174379825592041},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6383931040763855},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5991532802581787},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.5748052597045898},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5346803665161133},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.3135780394077301},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.2695424556732178},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.2331872284412384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18813204765319824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8421096801757812},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7174379825592041},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6383931040763855},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5991532802581787},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.5748052597045898},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5346803665161133},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.3135780394077301},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.2695424556732178},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.2331872284412384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18813204765319824},{"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":2,"locations":[{"id":"doi:10.1145/2661829.2662078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-79892","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2014&rft.spage=1299&rft.aulast=Song&rft.aufirst=&rft.atitle=Transfer%20Understanding%20from%20Head%20Queries%20to%20Tail%20Queries&rft.title=Proceedings%20of%20the%2023rd%20ACM%20International%20Conference%20on%20Conference%20on%20Information%20and%20Knowledge%20Management","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W89857650","https://openalex.org/W1491611863","https://openalex.org/W1493490255","https://openalex.org/W1505839237","https://openalex.org/W1512387364","https://openalex.org/W1550897339","https://openalex.org/W1880262756","https://openalex.org/W1898200041","https://openalex.org/W1982889956","https://openalex.org/W1985554184","https://openalex.org/W2003518292","https://openalex.org/W2007585013","https://openalex.org/W2022166150","https://openalex.org/W2028709054","https://openalex.org/W2038721957","https://openalex.org/W2046927501","https://openalex.org/W2047221353","https://openalex.org/W2062270497","https://openalex.org/W2071780887","https://openalex.org/W2082718666","https://openalex.org/W2085030399","https://openalex.org/W2087573683","https://openalex.org/W2090883204","https://openalex.org/W2094728533","https://openalex.org/W2099868020","https://openalex.org/W2103522185","https://openalex.org/W2115461474","https://openalex.org/W2120391124","https://openalex.org/W2135114864","https://openalex.org/W2135322081","https://openalex.org/W2136189984","https://openalex.org/W2138605095","https://openalex.org/W2139688392","https://openalex.org/W2143160289","https://openalex.org/W2158345769","https://openalex.org/W2162059449","https://openalex.org/W2165613971","https://openalex.org/W2171161922","https://openalex.org/W4235505822","https://openalex.org/W4245107743","https://openalex.org/W4251560691"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W4312133475","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987","https://openalex.org/W2367099342"],"abstract_inverted_index":{"One":[0,172],"of":[1,5,85,109,150,176],"the":[2,74,90,95,102,140,147,151,155,182],"biggest":[3],"challenges":[4],"commercial":[6],"search":[7,197],"engines":[8],"is":[9,78,94,173],"how":[10],"to":[11,30,50,57,72,133,145,154],"handle":[12,31],"tail":[13,128,156,179,186,195],"queries,":[14,22,27,180],"or":[15,121],"queries":[16,45,110,129,153],"that":[17,111,117,190],"occur":[18],"very":[19],"infrequently.":[20],"Frequent":[21],"also":[23],"known":[24],"as":[25],"head":[26,99,126,152,177],"are":[28,36,143],"easier":[29],"largely":[32],"because":[33],"their":[34],"intents":[35],"evidenced":[37],"by":[38,60,118,139],"abundant":[39],"click-through":[40,96,103],"data":[41,49,97,170],"(query":[42],"logs).":[43],"Tail":[44],"have":[46],"little":[47],"historical":[48],"rely":[51],"on,":[52],"which":[53],"makes":[54],"them":[55,132],"difficult":[56],"be":[58],"learned":[59],"ranking":[61],"algorithms.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,105,115,142,162],"leverage":[67],"knowledge":[68],"from":[69,89,124],"two":[70,168],"resources":[71],"fill":[73],"gap.":[75],"The":[76,92],"first":[77],"a":[79,134,174],"general":[80],"knowledgebase":[81],"containing":[82],"different":[83],"granularities":[84],"concepts":[86],"automatically":[87],"harnessed":[88],"Web.":[91],"second":[93],"for":[98],"queries.":[100,157,187],"From":[101],"data,":[104],"obtain":[106],"an":[107],"understanding":[108],"trigger":[112],"clicks.":[113],"Then,":[114],"show":[116,189],"extracting":[119],"single":[120],"multi-word":[122],"expressions":[123],"both":[125],"and":[127,130,178,181],"mapping":[131],"common":[135],"concept":[136],"space":[137],"defined":[138],"knowledgebase,":[141],"able":[144],"transfer":[146],"click":[148],"information":[149],"To":[158],"validate":[159],"our":[160,191],"approach,":[161],"conduct":[163],"large":[164],"scale":[165],"experiments":[166],"on":[167],"real":[169],"sets.":[171],"mixture":[175],"other":[183],"contains":[184],"pure":[185],"We":[188],"approach":[192],"effectively":[193],"improves":[194],"query":[196],"relevance.":[198]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}