{"id":"https://openalex.org/W2043282012","doi":"https://doi.org/10.1145/2348283.2348325","title":"An exploration of ranking heuristics in mobile local search","display_name":"An exploration of ranking heuristics in mobile local search","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2043282012","doi":"https://doi.org/10.1145/2348283.2348325","mag":"2043282012"},"language":"en","primary_location":{"id":"doi:10.1145/2348283.2348325","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","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/A5045898854","display_name":"Yuanhua Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuanhua Lv","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076653951","display_name":"Dimitrios Lymberopoulos","orcid":"https://orcid.org/0000-0002-9445-9490"},"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":"Dimitrios Lymberopoulos","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"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":"Qiang Wu","raw_affiliation_strings":["Microsoft, Redmond, WA, USA","Microsoft Redmond, WA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Redmond, WA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045898854"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":8.0495,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97062384,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9969000220298767,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.994700014591217,"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/heuristics","display_name":"Heuristics","score":0.8520655035972595},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8442630767822266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6940886378288269},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.683896541595459},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.584547758102417},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4879166781902313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37777647376060486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3736385405063629},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3471665382385254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3339179754257202}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8520655035972595},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8442630767822266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940886378288269},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.683896541595459},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.584547758102417},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4879166781902313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37777647376060486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3736385405063629},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3471665382385254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3339179754257202},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2348283.2348325","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.599.1442","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.599.1442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sifaka.cs.uiuc.edu/~ylv2/pub/sigir12-mobilelocal.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.930.8256","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.930.8256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/pubs/163550/fp121-lv.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W1503333931","https://openalex.org/W1508903578","https://openalex.org/W1678356000","https://openalex.org/W1880262756","https://openalex.org/W1945450724","https://openalex.org/W1970123191","https://openalex.org/W1974360117","https://openalex.org/W1982584634","https://openalex.org/W1990026265","https://openalex.org/W2000569744","https://openalex.org/W2005545412","https://openalex.org/W2006307108","https://openalex.org/W2014415866","https://openalex.org/W2016878753","https://openalex.org/W2022995284","https://openalex.org/W2031087029","https://openalex.org/W2031147312","https://openalex.org/W2057988282","https://openalex.org/W2070493638","https://openalex.org/W2074449313","https://openalex.org/W2081617506","https://openalex.org/W2091802992","https://openalex.org/W2095976990","https://openalex.org/W2105981469","https://openalex.org/W2106454749","https://openalex.org/W2107592605","https://openalex.org/W2107743791","https://openalex.org/W2108279663","https://openalex.org/W2120724560","https://openalex.org/W2134557008","https://openalex.org/W2140048308","https://openalex.org/W2141990085","https://openalex.org/W2142857396","https://openalex.org/W2147197247","https://openalex.org/W2151052953","https://openalex.org/W2160885631","https://openalex.org/W2165806612","https://openalex.org/W2168717408","https://openalex.org/W2169307587","https://openalex.org/W2172064665","https://openalex.org/W2431495623","https://openalex.org/W2612972698","https://openalex.org/W2884475480","https://openalex.org/W2904212624","https://openalex.org/W4233135949","https://openalex.org/W4234200495","https://openalex.org/W6629993956","https://openalex.org/W6747597888"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987"],"abstract_inverted_index":{"Users":[0],"increasingly":[1],"rely":[2],"on":[3,14],"their":[4],"mobile":[5,28],"devices":[6],"to":[7,56,73,101,110],"search":[8,30],"local":[9,29],"entities,":[10],"typically":[11],"businesses,":[12],"while":[13],"the":[15,24,71,79,91,103],"go.":[16],"Even":[17],"though":[18],"recent":[19],"work":[20],"has":[21,87],"recognized":[22],"that":[23],"ranking":[25,108,114],"signals":[26,52,72],"in":[27,90],"(e.g.,":[31,61],"distance":[32,63],"and":[33,65],"customer":[34],"rating":[35,66],"score":[36],"of":[37,81,93,106],"a":[38,54,82,107],"business)":[39],"are":[40],"quite":[41],"different":[42],"from":[43],"general":[44,94],"Web":[45],"search,":[46],"they":[47,77],"have":[48],"mostly":[49],"treated":[50],"these":[51],"as":[53,85],"black-box":[55],"extract":[57],"very":[58],"basic":[59],"features":[60],"raw":[62],"values":[64],"scores)":[67],"without":[68],"going":[69],"inside":[70],"understand":[74],"how":[75],"exactly":[76],"affect":[78],"relevance":[80],"business.":[83],"However,":[84],"it":[86,98],"been":[88],"demonstrated":[89],"development":[92],"information":[95],"retrieval":[96],"models,":[97],"is":[99],"critical":[100],"explore":[102],"underlying":[104],"behaviors/heuristics":[105],"signal":[109],"design":[111],"more":[112],"effective":[113],"features.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
