{"id":"https://openalex.org/W2077480106","doi":"https://doi.org/10.1145/2806416.2806516","title":"ORec","display_name":"ORec","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W2077480106","doi":"https://doi.org/10.1145/2806416.2806516","mag":"2077480106"},"language":"en","primary_location":{"id":"doi:10.1145/2806416.2806516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806516","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":"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/A5018287566","display_name":"Jia-Dong Zhang","orcid":"https://orcid.org/0000-0001-6378-5894"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jia-Dong Zhang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022507249","display_name":"Chi-Yin Chow","orcid":"https://orcid.org/0000-0002-9566-0743"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Yin Chow","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681020","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-1837-6730"},"institutions":[{"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"]},{"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":["CN","US"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"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"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018287566"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":27.2135008,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.9956486,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1641","last_page":"1650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.986299991607666,"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/T12031","display_name":"Speech and dialogue systems","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.785125195980072},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.7546567320823669},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5455316305160522},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.46959105134010315},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3729540705680847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2949061989784241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785125195980072},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.7546567320823669},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5455316305160522},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.46959105134010315},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3729540705680847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2949061989784241},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2806416.2806516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806516","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":36,"referenced_works":["https://openalex.org/W89554208","https://openalex.org/W160598224","https://openalex.org/W187383899","https://openalex.org/W582033733","https://openalex.org/W1576326591","https://openalex.org/W1912123407","https://openalex.org/W1973264045","https://openalex.org/W1981886741","https://openalex.org/W1986050033","https://openalex.org/W1995109099","https://openalex.org/W2003684386","https://openalex.org/W2017921654","https://openalex.org/W2023276992","https://openalex.org/W2024504711","https://openalex.org/W2034688657","https://openalex.org/W2035237009","https://openalex.org/W2051234849","https://openalex.org/W2055852858","https://openalex.org/W2061873838","https://openalex.org/W2070075246","https://openalex.org/W2072609015","https://openalex.org/W2074194940","https://openalex.org/W2084677224","https://openalex.org/W2087692915","https://openalex.org/W2097562995","https://openalex.org/W2101769206","https://openalex.org/W2128507180","https://openalex.org/W2133280805","https://openalex.org/W2139511937","https://openalex.org/W2139809240","https://openalex.org/W2146232090","https://openalex.org/W2154359981","https://openalex.org/W2250777971","https://openalex.org/W2323427203","https://openalex.org/W6607611857","https://openalex.org/W6679915538"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"location-based":[1],"social":[2,157,196],"networks":[3],"(LBSNs)":[4],"rapidly":[5],"grow,":[6],"it":[7],"is":[8],"a":[9,47,52,174,183,189,202,210],"timely":[10],"topic":[11],"to":[12,15,39,51,81,119,178,191,242],"study":[13],"how":[14],"recommend":[16],"users":[17,36,67,94,160],"with":[18,153,195],"interesting":[19],"locations,":[20],"known":[21],"as":[22,130],"points-of-interest":[23],"(POIs).":[24],"Most":[25],"existing":[26],"POI":[27,53,114,204,238,248],"recommendation":[28,115,205,239,249],"techniques":[29],"only":[30,71],"employ":[31],"the":[32,56,62,74,91,124,141,180],"check-in":[33,49,87,154],"data":[34,155,220],"of":[35,58,93,123,143,164,182],"in":[37,65,98,101],"LBSNs":[38],"learn":[40],"their":[41,83,86,99],"preferences":[42,84,92],"on":[43,61,105,127],"POIs":[44,70,128],"by":[45],"assuming":[46],"user's":[48],"frequency":[50],"explicitly":[54],"reflects":[55],"level":[57],"her":[59],"preference":[60],"POI.":[63],"However,":[64],"reality":[66],"usually":[68],"visit":[69],"once,":[72],"so":[73],"users'":[75],"check-ins":[76],"may":[77],"not":[78],"be":[79],"sufficient":[80],"derive":[82],"using":[85,216],"frequencies":[88],"only.":[89],"Actually,":[90],"are":[95,135],"exactly":[96],"implied":[97],"opinions":[100,126],"text-based":[102],"tips":[103,144],"commenting":[104],"POIs.":[106,165],"In":[107,132],"this":[108],"paper,":[109],"we":[110,172,187,208],"propose":[111],"an":[112],"opinion-based":[113],"framework":[116],"called":[117],"ORec":[118,215,231],"take":[120],"full":[121],"advantage":[122],"user":[125],"expressed":[129],"tips.":[131],"ORec,":[133],"there":[134],"two":[136,169,217],"main":[137],"challenges:":[138],"(i)":[139],"detecting":[140],"polarities":[142,194],"(positive,":[145],"neutral":[146],"or":[147],"negative),":[148],"and":[149,161,185,198,225,237,247],"(ii)":[150],"integrating":[151],"them":[152],"including":[156],"links":[158,197],"between":[159],"geographical":[162,199],"information":[163,200],"To":[166],"address":[167],"these":[168],"challenges,":[170],"(1)":[171],"develop":[173],"supervised":[175],"aspect-dependent":[176],"approach":[177],"detect":[179],"polarity":[181,235,245],"tip,":[184],"(2)":[186],"devise":[188],"method":[190],"fuse":[192],"tip":[193],"into":[201],"unified":[203],"framework.":[206],"Finally,":[207],"conduct":[209],"comprehensive":[211],"performance":[212],"evaluation":[213],"for":[214],"large-scale":[218],"real":[219],"sets":[221],"collected":[222],"from":[223],"Foursquare":[224],"Yelp.":[226],"Experimental":[227],"results":[228],"show":[229],"that":[230],"achieves":[232],"significantly":[233],"superior":[234],"detection":[236,246],"accuracy":[240],"compared":[241],"other":[243],"state-of-the-art":[244],"techniques.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
