{"id":"https://openalex.org/W2126515644","doi":"https://doi.org/10.1145/2505515.2505674","title":"Map search via a factor graph model","display_name":"Map search via a factor graph model","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W2126515644","doi":"https://doi.org/10.1145/2505515.2505674","mag":"2126515644"},"language":"en","primary_location":{"id":"doi:10.1145/2505515.2505674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; 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/A5100360407","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0947-4942"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026984917","display_name":"Jihua Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihua Kang","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041448669","display_name":"Yeyun Gong","orcid":"https://orcid.org/0000-0001-9954-9674"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeyun Gong","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444111","display_name":"Huan Chen","orcid":"https://orcid.org/0000-0002-3824-6693"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Chen","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100559702","display_name":"Yaqian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Zhou","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3221,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60894919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.995199978351593,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8195608854293823},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.69615238904953},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.683256208896637},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5884788036346436},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5668663382530212},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.545565664768219},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5088043808937073},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4917326271533966},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47710922360420227},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44026854634284973},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38030102849006653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33223551511764526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1735686957836151},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1598997712135315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08600649237632751}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195608854293823},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.69615238904953},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.683256208896637},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5884788036346436},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5668663382530212},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.545565664768219},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5088043808937073},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4917326271533966},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47710922360420227},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44026854634284973},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38030102849006653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33223551511764526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1735686957836151},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1598997712135315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08600649237632751},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2505515.2505674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; 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":42,"referenced_works":["https://openalex.org/W182104056","https://openalex.org/W1512789266","https://openalex.org/W1571866607","https://openalex.org/W1917000772","https://openalex.org/W1985471546","https://openalex.org/W1990589796","https://openalex.org/W1996791708","https://openalex.org/W2006307108","https://openalex.org/W2008742021","https://openalex.org/W2015441003","https://openalex.org/W2026298066","https://openalex.org/W2029901259","https://openalex.org/W2046437626","https://openalex.org/W2071224597","https://openalex.org/W2073083495","https://openalex.org/W2099568195","https://openalex.org/W2106299541","https://openalex.org/W2106454749","https://openalex.org/W2112129327","https://openalex.org/W2116482726","https://openalex.org/W2117249717","https://openalex.org/W2117297260","https://openalex.org/W2119119231","https://openalex.org/W2124055239","https://openalex.org/W2128600649","https://openalex.org/W2134150403","https://openalex.org/W2136542423","https://openalex.org/W2137813581","https://openalex.org/W2140048308","https://openalex.org/W2151345349","https://openalex.org/W2155019111","https://openalex.org/W2164742922","https://openalex.org/W2165735734","https://openalex.org/W2167136297","https://openalex.org/W2169307587","https://openalex.org/W2170889259","https://openalex.org/W2178128903","https://openalex.org/W2466240490","https://openalex.org/W2567758120","https://openalex.org/W4240913316","https://openalex.org/W4285719527","https://openalex.org/W6731697403"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W4206560911","https://openalex.org/W1970611213","https://openalex.org/W4372260270"],"abstract_inverted_index":{"Map":[0],"search":[1,99],"has":[2],"received":[3],"considerable":[4],"attention":[5],"in":[6,48,133],"recent":[7],"years.":[8],"With":[9],"map":[10,98],"search,":[11],"users":[12],"can":[13],"specify":[14],"target":[15],"locations":[16],"with":[17],"textual":[18],"queries.":[19,137],"However,":[20],"these":[21],"queries":[22,92],"do":[23],"not":[24],"always":[25],"include":[26],"well-formed":[27],"addresses":[28],"or":[29],"place":[30],"names.":[31],"They":[32],"may":[33,42],"contain":[34],"transpositions,":[35],"misspellings,":[36],"fragments":[37],"and":[38,81,101,106,111,129],"so":[39],"on.":[40],"Queries":[41],"significantly":[43],"differ":[44],"from":[45,93],"items":[46],"stored":[47],"the":[49,62],"spatial":[50],"database.":[51],"In":[52],"this":[53,59],"paper,":[54],"we":[55],"propose":[56],"to":[57,61,75],"connect":[58],"task":[60],"semi-structured":[63,70,126],"retrieval":[64,71,127],"problem.":[65],"A":[66],"novel":[67],"factor":[68],"graph-based":[69],"framework":[72],"is":[73],"introduced":[74],"incorporate":[76],"concept":[77],"weighting,":[78],"attribute":[79],"selection,":[80],"word-based":[82],"similarity":[83],"metrics":[84],"together.":[85],"We":[86],"randomly":[87],"sampled":[88],"a":[89,96],"number":[90],"of":[91,95,115],"logs":[94],"commercial":[97,131],"engine":[100],"manually":[102],"labeled":[103],"their":[104],"categories":[105],"relevant":[107],"results":[108,114],"for":[109],"analysis":[110],"evaluation.":[112],"The":[113],"several":[116],"experimental":[117],"comparisons":[118],"demonstrate":[119],"that":[120],"our":[121],"method":[122],"outperforms":[123],"both":[124],"state-of-the-art":[125],"methods":[128],"some":[130],"systems":[132],"retrieving":[134],"freeform":[135],"location":[136]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
