{"id":"https://openalex.org/W3088072029","doi":"https://doi.org/10.1145/3383313.3412238","title":"PURS: Personalized Unexpected Recommender System for Improving User Satisfaction","display_name":"PURS: Personalized Unexpected Recommender System for Improving User Satisfaction","publication_year":2020,"publication_date":"2020-09-19","ids":{"openalex":"https://openalex.org/W3088072029","doi":"https://doi.org/10.1145/3383313.3412238","mag":"3088072029"},"language":"en","primary_location":{"id":"doi:10.1145/3383313.3412238","doi":"https://doi.org/10.1145/3383313.3412238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3412238","pdf_url":null,"source":{"id":"https://openalex.org/S7407086088","display_name":"ACM Conference on Recommender Systems (RecSys)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5017608553","display_name":"Li Pan","orcid":"https://orcid.org/0000-0001-8520-0842","observed_orcids":["https://orcid.org/0000-0001-8520-0842"]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pan Li","raw_affiliation_strings":["New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027171343","display_name":"Maofei Que","orcid":"https://orcid.org/0009-0004-1410-3825","observed_orcids":["https://orcid.org/0009-0004-1410-3825"]},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maofei Que","raw_affiliation_strings":["Cognitive and Intelligent Lab Alibaba-Youku, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive and Intelligent Lab Alibaba-Youku, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000953662","display_name":"Zhichao Jiang","orcid":"https://orcid.org/0009-0006-5924-0713","observed_orcids":["https://orcid.org/0009-0006-5924-0713"]},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Jiang","raw_affiliation_strings":["Cognitive and Intelligent Lab Alibaba-Youku, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive and Intelligent Lab Alibaba-Youku, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666109","display_name":"Yao Guang Hu","orcid":"https://orcid.org/0000-0003-4573-5740","observed_orcids":["https://orcid.org/0000-0003-4573-5740"]},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YAO HU","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016384155","display_name":"Alexander Tuzhilin","orcid":"https://orcid.org/0000-0003-3354-8462","observed_orcids":["https://orcid.org/0000-0003-3354-8462"]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Tuzhilin","raw_affiliation_strings":["New York University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, United States","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2704,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.96791326,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0,"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/personalized-recommendation","display_name":"personalized recommendation","score":0.8019999861717224},{"id":"https://openalex.org/keywords/filter-bubbles","display_name":"filter bubbles","score":0.9210000038146973},{"id":"https://openalex.org/keywords/user-interest-modeling","display_name":"user interest modeling","score":0.6470000147819519},{"id":"https://openalex.org/keywords/self-attention","display_name":"self-attention","score":0.9570000171661377},{"id":"https://openalex.org/keywords/user-satisfaction","display_name":"user satisfaction","score":0.8700000047683716},{"id":"https://openalex.org/keywords/video-recommendation","display_name":"video recommendation","score":0.6499999761581421},{"id":"https://openalex.org/keywords/a-b-testing","display_name":"A/B testing","score":0.7630000114440918}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8851118087768555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810480535030365},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5775444507598877},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5538552403450012},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5491726994514465},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5469874739646912},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.501054048538208},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45713624358177185},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.43583399057388306},{"id":"https://openalex.org/C3017893058","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"User satisfaction","level":2,"score":0.42201048135757446},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4210619330406189},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3627839982509613},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2952848970890045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.282220721244812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07754775881767273},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383313.3412238","doi":"https://doi.org/10.1145/3383313.3412238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3412238","pdf_url":null,"source":{"id":"https://openalex.org/S7407086088","display_name":"ACM Conference on Recommender Systems (RecSys)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W790455547","https://openalex.org/W1560799855","https://openalex.org/W1720514416","https://openalex.org/W1924770834","https://openalex.org/W1971040550","https://openalex.org/W1986981703","https://openalex.org/W2003804278","https://openalex.org/W2009718036","https://openalex.org/W2012496484","https://openalex.org/W2022686119","https://openalex.org/W2023801818","https://openalex.org/W2023858600","https://openalex.org/W2023954349","https://openalex.org/W2033213271","https://openalex.org/W2045453095","https://openalex.org/W2049670925","https://openalex.org/W2067191022","https://openalex.org/W2111094216","https://openalex.org/W2131241448","https://openalex.org/W2155912844","https://openalex.org/W2161676175","https://openalex.org/W2475334473","https://openalex.org/W2476960546","https://openalex.org/W2546986214","https://openalex.org/W2548570154","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2606842163","https://openalex.org/W2723293840","https://openalex.org/W2743104969","https://openalex.org/W2789541106","https://openalex.org/W2795199972","https://openalex.org/W2803794535","https://openalex.org/W2908054697","https://openalex.org/W2913853152","https://openalex.org/W2950635152","https://openalex.org/W2962745591","https://openalex.org/W2963707260","https://openalex.org/W2963919031","https://openalex.org/W3096591391","https://openalex.org/W3122507327","https://openalex.org/W3185693672","https://openalex.org/W4243863304","https://openalex.org/W4288083766","https://openalex.org/W4299687421"],"related_works":["https://openalex.org/W2401515327","https://openalex.org/W7098829027","https://openalex.org/W2009718036","https://openalex.org/W3125207606","https://openalex.org/W3087223341","https://openalex.org/W4312708929","https://openalex.org/W3001747181","https://openalex.org/W2023858600","https://openalex.org/W2620166481","https://openalex.org/W790455547"],"abstract_inverted_index":{"Classical":[0],"recommender":[1],"system":[2],"methods":[3],"typically":[4],"face":[5],"the":[6,26,56,75,86,93,114,120,154,166,172],"filter":[7,27],"bubble":[8,28],"problem":[9],"when":[10],"users":[11],"only":[12],"receive":[13],"recommendations":[14,31],"of":[15,82,99,126,168],"their":[16],"familiar":[17],"items,":[18],"making":[19],"them":[20,47],"bored":[21],"and":[22,44,51,89,96,129],"dissatisfied.":[23],"To":[24],"address":[25],"problem,":[29],"unexpected":[30,102],"have":[32],"been":[33],"proposed":[34,115,162],"to":[35,55],"recommend":[36],"items":[37,54],"significantly":[38,118],"deviating":[39],"from":[40],"user\u2019s":[41],"prior":[42],"expectations":[43],"thus":[45],"surprising":[46],"by":[48,78,171],"presenting":[49],"\u201dfresh\u201d":[50],"previously":[52],"unexplored":[53],"users.":[57],"In":[58,132],"this":[59],"paper,":[60],"we":[61,134],"describe":[62],"a":[63,141],"novel":[64],"Personalized":[65],"Unexpected":[66],"Recommender":[67],"System":[68],"(PURS)":[69],"model":[70,117,148,163],"that":[71,113],"incorporates":[72],"unexpectedness":[73,91,130],"into":[74],"recommendation":[76],"process":[77,167],"providing":[79],"multi-cluster":[80],"modeling":[81],"user":[83,159],"interests":[84],"in":[85,124,153,165],"latent":[87],"space":[88],"personalized":[90],"via":[92,97],"self-attention":[94],"mechanism":[95],"selection":[98],"an":[100,136],"appropriate":[101],"activation":[103],"function.":[104],"Extensive":[105],"offline":[106],"experiments":[107],"on":[108],"three":[109],"real-world":[110],"datasets":[111],"illustrate":[112],"PURS":[116],"outperforms":[119],"state-of-the-art":[121],"baseline":[122],"approaches":[123],"terms":[125],"both":[127],"accuracy":[128],"measures.":[131],"addition,":[133],"conduct":[135],"online":[137],"A/B":[138],"test":[139],"at":[140],"major":[142],"video":[143,156],"platform":[144],"Alibaba-Youku,":[145],"where":[146],"our":[147],"achieves":[149],"over":[150],"3%":[151],"increase":[152],"average":[155],"view":[157],"per":[158],"metric.":[160],"The":[161],"is":[164],"being":[169],"deployed":[170],"company.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-10-01T00:00:00"}
