{"id":"https://openalex.org/W2798331900","doi":"https://doi.org/10.1145/3209978.3210010","title":"Explainable Recommendation via Multi-Task Learning in Opinionated Text Data","display_name":"Explainable Recommendation via Multi-Task Learning in Opinionated Text Data","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798331900","doi":"https://doi.org/10.1145/3209978.3210010","mag":"2798331900"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210010","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209978.3210010","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210010","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100332706","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0001-6905-9690"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012522148","display_name":"Yiling Jia","orcid":"https://orcid.org/0000-0002-1334-609X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiling Jia","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100724041","display_name":"Yue Yin","orcid":"https://orcid.org/0000-0002-6044-731X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Yin","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100332706"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":40.3028,"has_fulltext":true,"cited_by_count":206,"citation_normalized_percentile":{"value":0.99742423,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","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/T12303","display_name":"Tensor decomposition and applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8827555179595947},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7013252377510071},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6942089200019836},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6200969219207764},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5379745364189148},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5175487399101257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38509461283683777},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33801034092903137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33794739842414856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8827555179595947},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7013252377510071},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6942089200019836},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6200969219207764},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5379745364189148},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5175487399101257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38509461283683777},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33801034092903137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33794739842414856},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3209978.3210010","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209978.3210010","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210010","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1806.03568","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.03568","pdf_url":"https://arxiv.org/pdf/1806.03568","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":"doi:10.1145/3209978.3210010","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209978.3210010","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210010","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2809585136","display_name":null,"funder_award_id":"CNS-1646501","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5245339017","display_name":null,"funder_award_id":"1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7137805774","display_name":"CPS: TTP Option: Breakthrough: Collaborative Sensing: An Approach for Immediately Scalable Sensing in Buildings","funder_award_id":"1646501","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7441103298","display_name":null,"funder_award_id":"IIS-1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798331900.pdf","grobid_xml":"https://content.openalex.org/works/W2798331900.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W176835813","https://openalex.org/W1479822238","https://openalex.org/W1750205245","https://openalex.org/W1971040550","https://openalex.org/W1998889130","https://openalex.org/W2002834872","https://openalex.org/W2024165284","https://openalex.org/W2027731328","https://openalex.org/W2042281163","https://openalex.org/W2043545458","https://openalex.org/W2054141820","https://openalex.org/W2061873838","https://openalex.org/W2065180801","https://openalex.org/W2089566520","https://openalex.org/W2102937240","https://openalex.org/W2119343909","https://openalex.org/W2119825970","https://openalex.org/W2126159342","https://openalex.org/W2130369780","https://openalex.org/W2131305515","https://openalex.org/W2135790056","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2142972908","https://openalex.org/W2143104527","https://openalex.org/W2146502635","https://openalex.org/W2147686623","https://openalex.org/W2152184085","https://openalex.org/W2170521549","https://openalex.org/W2206025596","https://openalex.org/W2294501066","https://openalex.org/W2337403844","https://openalex.org/W2508935523","https://openalex.org/W2583875861","https://openalex.org/W2741403748","https://openalex.org/W2746910012","https://openalex.org/W2950109329","https://openalex.org/W3035787931"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W1657011257","https://openalex.org/W2035018219"],"abstract_inverted_index":{"Explaining":[0],"automatically":[1],"generated":[2,137],"recommendations":[3,136],"allows":[4],"users":[5],"to":[6,16],"make":[7],"more":[8],"informed":[9],"and":[10,18,45,102,114],"accurate":[11],"decisions":[12],"about":[13],"which":[14],"results":[15],"utilize,":[17],"therefore":[19],"improves":[20],"their":[21],"satisfaction.":[22],"In":[23],"this":[24],"work,":[25],"we":[26],"develop":[27],"a":[28,54,59,66,70,83],"multi-task":[29],"learning":[30,37],"solution":[31,110],"for":[32,43,49],"explainable":[33,135],"recommendation.":[34],"Two":[35],"companion":[36],"tasks":[38],"of":[39,72,100,108,133],"user":[40,80,126],"preference":[41,68],"modeling":[42,48],"recommendation":[44,113,121],"opinionated":[46,91],"content":[47],"explanation":[50,115],"are":[51],"integrated":[52],"via":[53],"joint":[55],"tensor":[56],"factorization.":[57],"As":[58],"result,":[60],"the":[61,79,87,106,130,134],"algorithm":[62],"predicts":[63],"not":[64],"only":[65],"user's":[67],"over":[69],"list":[71],"items,":[73],"i.e.,":[74,90],"recommendation,":[75],"but":[76],"also":[77],"how":[78],"would":[81],"appreciate":[82],"particular":[84],"item":[85],"at":[86],"feature":[88],"level,":[89],"textual":[92],"explanation.":[93],"Extensive":[94],"experiments":[95],"on":[96],"two":[97],"large":[98],"collections":[99],"Amazon":[101],"Yelp":[103],"reviews":[104],"confirmed":[105],"effectiveness":[107],"our":[109,124,139],"in":[111],"both":[112],"tasks,":[116],"compared":[117],"with":[118],"several":[119],"existing":[120],"algorithms.":[122],"And":[123],"extensive":[125],"study":[127],"clearly":[128],"demonstrates":[129],"practical":[131],"value":[132],"by":[138],"algorithm.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
