{"id":"https://openalex.org/W3172224011","doi":"https://doi.org/10.1145/3471158.3472258","title":"Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation","display_name":"Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3172224011","doi":"https://doi.org/10.1145/3471158.3472258","mag":"3172224011"},"language":"en","primary_location":{"id":"doi:10.1145/3471158.3472258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471158.3472258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.09665","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036683049","display_name":"Zhichao Xu","orcid":"https://orcid.org/0000-0002-2370-4487"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhichao Xu","raw_affiliation_strings":["University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020583822","display_name":"Hansi Zeng","orcid":"https://orcid.org/0009-0000-2699-8460"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hansi Zeng","raw_affiliation_strings":["University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089655391","display_name":"Qingyao Ai","orcid":"https://orcid.org/0000-0002-5030-709X"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingyao Ai","raw_affiliation_strings":["University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036683049"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":0.8516,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78723658,"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":"149","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9891999959945679,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9835000038146973,"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":0.8255338668823242},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7249882221221924},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6789535880088806},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6647014617919922},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6374203562736511},{"id":"https://openalex.org/keywords/e-commerce","display_name":"E-commerce","score":0.5129196643829346},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4176383912563324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3395266532897949},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19397714734077454},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13926449418067932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255338668823242},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7249882221221924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6789535880088806},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6647014617919922},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6374203562736511},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.5129196643829346},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4176383912563324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3395266532897949},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19397714734077454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13926449418067932},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3471158.3472258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471158.3472258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.09665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.09665","pdf_url":"https://arxiv.org/pdf/2106.09665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.09665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.09665","pdf_url":"https://arxiv.org/pdf/2106.09665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W39762900","https://openalex.org/W1522301498","https://openalex.org/W1987431925","https://openalex.org/W1994389483","https://openalex.org/W2028988057","https://openalex.org/W2050096199","https://openalex.org/W2054141820","https://openalex.org/W2061873838","https://openalex.org/W2106477703","https://openalex.org/W2131744502","https://openalex.org/W2135505871","https://openalex.org/W2135790056","https://openalex.org/W2140310134","https://openalex.org/W2142972908","https://openalex.org/W2152184085","https://openalex.org/W2337403844","https://openalex.org/W2575006718","https://openalex.org/W2605350416","https://openalex.org/W2606749808","https://openalex.org/W2749348810","https://openalex.org/W2767724106","https://openalex.org/W2786995169","https://openalex.org/W2788376297","https://openalex.org/W2801992635","https://openalex.org/W2896457183","https://openalex.org/W2899626049","https://openalex.org/W2909544278","https://openalex.org/W2950133940","https://openalex.org/W2950975304","https://openalex.org/W2963083845","https://openalex.org/W2963341956","https://openalex.org/W2997892038","https://openalex.org/W3026230850","https://openalex.org/W3081170586","https://openalex.org/W3081734313","https://openalex.org/W3088724481","https://openalex.org/W3088777230","https://openalex.org/W3098471661","https://openalex.org/W3100921056","https://openalex.org/W3101887415","https://openalex.org/W3104406051","https://openalex.org/W3109514626","https://openalex.org/W3124621336","https://openalex.org/W4237284205","https://openalex.org/W4283205337","https://openalex.org/W4294170691","https://openalex.org/W4300427681"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029","https://openalex.org/W2600924427","https://openalex.org/W2039241249","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Modern":[0],"E-commerce":[1,127,204],"websites":[2],"contain":[3],"heterogeneous":[4],"sources":[5],"of":[6,66,71,101,119,185],"information,":[7,182],"such":[8,95],"as":[9,56,58,96,177],"numerical":[10],"ratings,":[11],"textual":[12,25,120,201],"reviews":[13,202],"and":[14,87,141,152],"images.":[15],"These":[16],"information":[17,43,80,103,122,161,176],"can":[18,49,162,190],"be":[19,191,210],"utilized":[20],"to":[21,63,91,144,199,209],"assist":[22],"recommendation.":[23],"Through":[24],"reviews,":[26,47],"a":[27,178],"user":[28],"explicitly":[29],"express":[30],"her":[31],"affinity":[32],"towards":[33],"the":[34,42,52,59,64,72,78,99,117,183,195],"item.":[35],"Previous":[36],"researchers":[37],"found":[38],"that":[39,156],"by":[40],"using":[41],"extracted":[44],"from":[45,149],"these":[46],"we":[48,115],"better":[50,165],"profile":[51],"users'":[53],"explicit":[54],"preferences":[55],"well":[57],"item":[60],"features,":[61],"leading":[62],"improvement":[65],"recommendation":[67,125,139,147,206],"performance.":[68],"However,":[69,194],"most":[70],"previous":[73],"algorithms":[74],"were":[75],"only":[76,159],"utilizing":[77,158,174],"review":[79,102,121,160,175],"for":[81,123,137,203],"explicit-feedback":[82],"problem":[83,94],"i.e.":[84],"rating":[85,134],"prediction,":[86],"when":[88],"it":[89],"comes":[90],"implicit-feedback":[92,169,186],"ranking":[93],"top-N":[97,124,138,146,205],"recommendation,":[98],"usage":[100],"has":[104],"not":[105,163],"been":[106],"fully":[107],"explored.":[108],"Seeing":[109],"this":[110,113],"gap,":[111],"in":[112],"work,":[114],"investigate":[116],"effectiveness":[118],"under":[126],"settings.":[128],"We":[129,154],"adapt":[130],"several":[131],"SOTA":[132],"review-based":[133],"prediction":[135],"models":[136,148,157],"tasks":[140],"compare":[142],"them":[143],"existing":[145],"both":[150],"performance":[151,184],"efficiency.":[153],"find":[155],"achieve":[164],"performances":[166],"than":[167],"vanilla":[168],"matrix":[170,187],"factorization":[171,188],"method.":[172],"When":[173],"regularizer":[179],"or":[180],"auxiliary":[181],"method":[189],"further":[192],"improved.":[193],"optimal":[196],"model":[197],"structure":[198],"utilize":[200],"is":[207],"yet":[208],"determined.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-06-22T00:00:00"}