{"id":"https://openalex.org/W2121392694","doi":"https://doi.org/10.1145/1772690.1772761","title":"Exploiting social context for review quality prediction","display_name":"Exploiting social context for review quality prediction","publication_year":2010,"publication_date":"2010-04-26","ids":{"openalex":"https://openalex.org/W2121392694","doi":"https://doi.org/10.1145/1772690.1772761","mag":"2121392694"},"language":"en","primary_location":{"id":"doi:10.1145/1772690.1772761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1772690.1772761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th 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/A5031868292","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0003-4062-6553"},"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":"Yue Lu","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/A5066962453","display_name":"Panayiotis Tsaparas","orcid":"https://orcid.org/0000-0002-3490-1507"},"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":"Panayiotis Tsaparas","raw_affiliation_strings":["Microsoft Research, Mountain View, CA, USA","Microsoft Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030400740","display_name":"Alexandros Ntoulas","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":"Alexandros Ntoulas","raw_affiliation_strings":["Microsoft Research, Mountain View, CA, USA","Microsoft Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014735540","display_name":"Livia Polanyi","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":"Livia Polanyi","raw_affiliation_strings":["Microsoft Corporation, San Francisco, CA, USA","Microsoft Corporation, San Francisco, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, San Francisco, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Corporation, San Francisco, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031868292"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":33.5149,"has_fulltext":false,"cited_by_count":310,"citation_normalized_percentile":{"value":0.99774804,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"691","last_page":"700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9994999766349792,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6955937147140503},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5314922332763672},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5279273986816406},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06903469562530518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6955937147140503},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5314922332763672},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5279273986816406},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06903469562530518},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1772690.1772761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1772690.1772761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th international conference on World wide web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.183.8465","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.8465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ntoulas.x10hosting.com/pubs/ntoulas_reviews.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.186.4368","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.4368","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/yuelu2/pub/www10-reviewQuality.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.3413","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.3413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uoi.gr/%7Etsap/publications/fp256-lu.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W69239580","https://openalex.org/W73370836","https://openalex.org/W1581485226","https://openalex.org/W1990334093","https://openalex.org/W2021093430","https://openalex.org/W2037858832","https://openalex.org/W2087294982","https://openalex.org/W2099934438","https://openalex.org/W2104290444","https://openalex.org/W2115394986","https://openalex.org/W2116401198","https://openalex.org/W2134353060","https://openalex.org/W2136504847","https://openalex.org/W2139823104","https://openalex.org/W2148606196","https://openalex.org/W2150461699","https://openalex.org/W2152814537","https://openalex.org/W2154455818","https://openalex.org/W2159133636","https://openalex.org/W2160660844","https://openalex.org/W2997701990","https://openalex.org/W3124946654","https://openalex.org/W6634901647","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W3128706755","https://openalex.org/W4205700965","https://openalex.org/W3101834738","https://openalex.org/W1593530843","https://openalex.org/W2395755482","https://openalex.org/W2359884906","https://openalex.org/W2360119202","https://openalex.org/W2890561643","https://openalex.org/W3122252720"],"abstract_inverted_index":{"Online":[0],"reviews":[1,32],"in":[2,35,41],"which":[3],"users":[4,22],"publish":[5],"detailed":[6],"commentary":[7],"about":[8,93],"their":[9],"experiences":[10],"and":[11,37,73,97,165],"opinions":[12],"with":[13],"products,":[14],"services,":[15],"or":[16],"events":[17],"are":[18,38],"extremely":[19],"valuable":[20],"to":[21,27,119],"who":[23],"rely":[24],"on":[25,78],"them":[26],"make":[28],"informed":[29],"decisions.":[30],"However,":[31],"vary":[33],"greatly":[34],"quality":[36,103,180],"con-stantly":[39],"increasing":[40],"number,":[42],"therefore,":[43],"automatic":[44],"assessment":[45],"of":[46,50,136,178],"review":[47,62,71,84,102],"helpfulness":[48],"is":[49,148,154,188],"growing":[51],"importance.":[52],"Previous":[53],"work":[54],"has":[55,141],"addressed":[56],"the":[57,70,83,120,128,142,145,176,184],"problem":[58],"by":[59,115],"treating":[60],"a":[61,64,75,107,161],"as":[63],"stand-alone":[65],"docu-ment,":[66],"extracting":[67],"features":[68,80],"from":[69],"text,":[72],"learning":[74],"func-tion":[76],"based":[77],"these":[79],"for":[81,100,110,133],"predicting":[82],"quality.":[85],"In":[86],"this":[87],"work,":[88],"we":[89],"exploit":[90],"contextual":[91],"information":[92,114,172],"authors":[94],"\u2019":[95],"iden-tities":[96],"social":[98,112,129,152,170],"networks":[99],"improving":[101],"prediction.":[104],"We":[105,156],"propose":[106],"generic":[108],"framework":[109,159],"incorporating":[111],"context":[113,130,153,171],"adding":[116],"regularization":[117],"constraints":[118],"text-based":[121],"predictor.":[122],"Our":[123],"approach":[124],"can":[125,173],"effectively":[126],"use":[127],"infor-mation":[131],"available":[132,185],"large":[134],"quantities":[135],"unlabeled":[137],"reviews.":[138],"It":[139],"also":[140],"advantage":[143],"that":[144,168],"resulting":[146],"predictor":[147],"usable":[149],"even":[150],"when":[151,183],"unavailable.":[155],"validate":[157],"our":[158],"within":[160],"real":[162],"commerce":[163],"portal":[164],"experimentally":[166],"demonstrate":[167],"using":[169],"help":[174],"improve":[175],"accuracy":[177],"re-view":[179],"prediction":[181],"especially":[182],"training":[186],"data":[187],"sparse.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":29},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":46},{"year":2014,"cited_by_count":40},{"year":2013,"cited_by_count":27},{"year":2012,"cited_by_count":27}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
