{"id":"https://openalex.org/W2106454749","doi":"https://doi.org/10.1145/1526709.1526774","title":"Discovering users' specific geo intention in web search","display_name":"Discovering users' specific geo intention in web search","publication_year":2009,"publication_date":"2009-04-20","ids":{"openalex":"https://openalex.org/W2106454749","doi":"https://doi.org/10.1145/1526709.1526774","mag":"2106454749"},"language":"en","primary_location":{"id":"doi:10.1145/1526709.1526774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1526709.1526774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th international conference on World wide web","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/A5087568641","display_name":"Yi Xing","orcid":"https://orcid.org/0000-0001-9257-7613"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xing Yi","raw_affiliation_strings":["University of Massachusetts, Amherst, Amherst, MA, USA","University Of Massachusetts Amherst, Amherst, MA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University Of Massachusetts Amherst, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028621953","display_name":"Hema Raghavan","orcid":"https://orcid.org/0000-0002-8011-8767"},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Hema Raghavan","raw_affiliation_strings":["Yahoo! Inc., Santa Clara, CA, USA","[Yahoo, Inc., Santa Clara, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Yahoo! Inc., Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"[Yahoo, Inc., Santa Clara, CA, USA]","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089348109","display_name":"Chris Leggetter","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Chris Leggetter","raw_affiliation_strings":["Yahoo! Inc., Santa Clara, CA, USA","[Yahoo, Inc., Santa Clara, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Yahoo! Inc., Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"[Yahoo, Inc., Santa Clara, CA, USA]","institution_ids":["https://openalex.org/I1325784139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087568641"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":33.3309,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.99576581,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"481","last_page":"490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8316227197647095},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6200764775276184},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6000720858573914},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5917960405349731},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5334911942481995},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49359428882598877},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4598774015903473},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.44953376054763794},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4461381435394287},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.29591476917266846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2950708270072937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8316227197647095},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6200764775276184},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6000720858573914},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5917960405349731},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5334911942481995},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49359428882598877},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4598774015903473},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.44953376054763794},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4461381435394287},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29591476917266846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2950708270072937},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1526709.1526774","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1526709.1526774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th international conference on World wide web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5699999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309622","display_name":"Harvard University","ror":"https://ror.org/03vek6s52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W74366724","https://openalex.org/W1498941143","https://openalex.org/W1515450954","https://openalex.org/W1522547150","https://openalex.org/W1593045043","https://openalex.org/W1599507456","https://openalex.org/W1678356000","https://openalex.org/W1803379702","https://openalex.org/W1907066919","https://openalex.org/W2037724912","https://openalex.org/W2071224597","https://openalex.org/W2093390569","https://openalex.org/W2093812930","https://openalex.org/W2097927681","https://openalex.org/W2123952158","https://openalex.org/W2136459625","https://openalex.org/W2136542423","https://openalex.org/W2153635508","https://openalex.org/W2159637323","https://openalex.org/W2397721205","https://openalex.org/W2431495623","https://openalex.org/W2950186769","https://openalex.org/W3120421331","https://openalex.org/W4206765718","https://openalex.org/W4240913316","https://openalex.org/W6603004817","https://openalex.org/W6638514648"],"related_works":["https://openalex.org/W2118758177","https://openalex.org/W4330338194","https://openalex.org/W2943623134","https://openalex.org/W2153520307","https://openalex.org/W2494523064","https://openalex.org/W2151459719","https://openalex.org/W623261610","https://openalex.org/W2215759665","https://openalex.org/W2358294942","https://openalex.org/W4367460280"],"abstract_inverted_index":{"Discovering":[0],"users'":[1,14,76,97,154],"specific":[2,118],"and":[3,80,144,200],"implicit":[4,77,155,171],"geographic":[5,99],"intention":[6],"in":[7,61,116,168,193],"web":[8,62],"search":[9],"can":[10,189],"greatly":[11],"help":[12],"satisfy":[13],"information":[15],"needs.":[16],"We":[17,41,64,134],"build":[18,42],"a":[19,30,43,49,59,108,117],"geo":[20,78,158,172,176,180],"intent":[21,79,159],"analysis":[22],"system":[23,139,162],"that":[24,106,113,136,206],"uses":[25],"minimal":[26],"supervision":[27],"to":[28,85],"learn":[29],"model":[31,188,209],"from":[32,69,129],"large":[33],"amounts":[34],"of":[35,52,58,110,125,152],"web-search":[36],"logs":[37],"for":[38,104,149,213],"this":[39,86],"discovery.":[40],"city":[44,60,83,131,156,186,211],"language":[45,54,71,132,187,208],"model,":[46],"which":[47],"is":[48,93,114],"probabilistic":[50],"representation":[51],"the":[53,56,82,91,96,123,130,138,150,161,185,207],"surrounding":[55],"mention":[57,109],"queries.":[63],"use":[65],"several":[66],"features":[67,127],"derived":[68,128],"these":[70],"models":[72],"to:":[73],"(1)":[74,137],"identify":[75],"pinpoint":[81],"corresponding":[84],"intent,":[87],"(2)":[88,160],"determine":[89],"whether":[90,170],"geo-intent":[92],"localized":[94],"around":[95],"current":[98],"location,":[100],"(3)":[101,184],"predict":[102],"cities":[103,192],"queries":[105,173,181,195,215],"have":[107],"an":[111],"entity":[112],"located":[115],"place.":[119],"Experimental":[120],"results":[121],"demonstrate":[122],"effectiveness":[124],"using":[126],"model.":[133],"find":[135],"has":[140],"over":[141],"90%":[142],"precision":[143,198],"more":[145,164],"than":[146,165],"74%":[147],"accuracy":[148,167,218],"task":[151],"detecting":[153],"level":[157],"achieves":[163],"96%":[166],"determining":[169],"are":[174],"local":[175],"queries,":[177],"neighbor":[178],"region":[179],"or":[182],"none-of-these":[183],"effectively":[190],"retrieve":[191],"location-specific":[194,214],"with":[196,216],"high":[197,217],"(88%)":[199],"recall":[201],"(74%);":[202],"human":[203],"evaluation":[204],"shows":[205],"predicts":[210],"labels":[212],"(84.5%).":[219]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}