{"id":"https://openalex.org/W4381334367","doi":"https://doi.org/10.1145/3605145","title":"Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives","display_name":"Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives","publication_year":2023,"publication_date":"2023-06-20","ids":{"openalex":"https://openalex.org/W4381334367","doi":"https://doi.org/10.1145/3605145"},"language":"en","primary_location":{"id":"doi:10.1145/3605145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605145","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"review","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/A5042363363","display_name":"Zhe Fu","orcid":"https://orcid.org/0000-0002-3097-8451"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhe Fu","raw_affiliation_strings":["University of North Carolina at Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069430572","display_name":"Xi Niu","orcid":"https://orcid.org/0000-0002-5418-6969"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Niu","raw_affiliation_strings":["University of North Carolina at Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005530463","display_name":"Mary Lou Maher","orcid":"https://orcid.org/0000-0002-4150-0322"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary Lou Maher","raw_affiliation_strings":["University of North Carolina at Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042363363"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":12.6841,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98656025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"56","issue":"1","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9696999788284302,"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/serendipity","display_name":"Serendipity","score":0.9850330352783203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919155359268188},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6291626691818237},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5684672594070435},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5671690702438354},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5117130279541016},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4534164071083069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3955390751361847}],"concepts":[{"id":"https://openalex.org/C2779119418","wikidata":"https://www.wikidata.org/wiki/Q166039","display_name":"Serendipity","level":2,"score":0.9850330352783203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919155359268188},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6291626691818237},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5684672594070435},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5671690702438354},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5117130279541016},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4534164071083069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3955390751361847},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605145","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G43354767","display_name":null,"funder_award_id":"1910696","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W615621364","https://openalex.org/W824612272","https://openalex.org/W1536484964","https://openalex.org/W1602136775","https://openalex.org/W1971040550","https://openalex.org/W1981169458","https://openalex.org/W2009718036","https://openalex.org/W2014358499","https://openalex.org/W2023954349","https://openalex.org/W2037451280","https://openalex.org/W2045453095","https://openalex.org/W2053799969","https://openalex.org/W2059416602","https://openalex.org/W2069065514","https://openalex.org/W2076460556","https://openalex.org/W2107615426","https://openalex.org/W2110552806","https://openalex.org/W2138899136","https://openalex.org/W2142144955","https://openalex.org/W2155912844","https://openalex.org/W2203455183","https://openalex.org/W2213191543","https://openalex.org/W2219888463","https://openalex.org/W2250539671","https://openalex.org/W2254811361","https://openalex.org/W2396427021","https://openalex.org/W2514091133","https://openalex.org/W2562236173","https://openalex.org/W2604639157","https://openalex.org/W2608239929","https://openalex.org/W2726396866","https://openalex.org/W2734416456","https://openalex.org/W2739273093","https://openalex.org/W2760073203","https://openalex.org/W2767547957","https://openalex.org/W2785156578","https://openalex.org/W2801787921","https://openalex.org/W2802223636","https://openalex.org/W2811138351","https://openalex.org/W2887759015","https://openalex.org/W2888093627","https://openalex.org/W2892219257","https://openalex.org/W2896873311","https://openalex.org/W2904119337","https://openalex.org/W2913153455","https://openalex.org/W2913556077","https://openalex.org/W2913853152","https://openalex.org/W2914576582","https://openalex.org/W2916790858","https://openalex.org/W2918008835","https://openalex.org/W2921612706","https://openalex.org/W2945827670","https://openalex.org/W2953771943","https://openalex.org/W2963443217","https://openalex.org/W2972178179","https://openalex.org/W2974962026","https://openalex.org/W2980849092","https://openalex.org/W2987119394","https://openalex.org/W2990552222","https://openalex.org/W2999851651","https://openalex.org/W3014655750","https://openalex.org/W3027406032","https://openalex.org/W3041133507","https://openalex.org/W3043485137","https://openalex.org/W3047590354","https://openalex.org/W3080278124","https://openalex.org/W3092411889","https://openalex.org/W3094843125","https://openalex.org/W3100278010","https://openalex.org/W3115893338","https://openalex.org/W3127940748","https://openalex.org/W3130313700","https://openalex.org/W3134502726","https://openalex.org/W3154445493","https://openalex.org/W3182213434","https://openalex.org/W3188443178","https://openalex.org/W3194486110","https://openalex.org/W3196572840","https://openalex.org/W3205606719","https://openalex.org/W4206588201","https://openalex.org/W4206633947","https://openalex.org/W4213069590","https://openalex.org/W4214810323","https://openalex.org/W4225889707","https://openalex.org/W4229036490","https://openalex.org/W4248949446","https://openalex.org/W4284674867","https://openalex.org/W4288083766","https://openalex.org/W4297794619","https://openalex.org/W4298197157","https://openalex.org/W4298630193","https://openalex.org/W4302420685"],"related_works":["https://openalex.org/W2014447309","https://openalex.org/W2365213443","https://openalex.org/W2040397200","https://openalex.org/W3198184493","https://openalex.org/W2888998488","https://openalex.org/W2351571780","https://openalex.org/W2751948019","https://openalex.org/W2946976426","https://openalex.org/W1969324738","https://openalex.org/W3177237030"],"abstract_inverted_index":{"Serendipitous":[0],"recommendations":[1],"have":[2],"emerged":[3],"as":[4],"a":[5,37,69,111,136],"compelling":[6],"approach":[7],"to":[8,17,100,109,125,134],"deliver":[9],"users":[10],"with":[11,36],"unexpected":[12],"yet":[13],"valuable":[14],"information,":[15],"contributing":[16],"heightened":[18],"user":[19,98],"satisfaction":[20],"and":[21,64,71,81,102,120,144],"engagement.":[22],"This":[23],"survey":[24],"presents":[25],"an":[26],"investigation":[27],"of":[28,55,73,139],"the":[29,56,74,86],"most":[30],"recent":[31],"research":[32],"in":[33,85,141,148],"serendipity":[34,57,75,140],"recommenders,":[35],"specific":[38],"emphasis":[39],"on":[40],"deep":[41],"learning":[42,108,124],"recommendation":[43],"models.":[44],"We":[45,88],"categorize":[46],"these":[47],"models":[48],"into":[49],"three":[50,90],"types,":[51],"distinguishing":[52],"their":[53],"integration":[54],"objective":[58],"across":[59],"distinct":[60],"stages:":[61],"pre-processing,":[62],"in-processing,":[63],"post-processing.":[65],"Additionally,":[66],"we":[67,132],"provide":[68],"review":[70],"summary":[72],"definition,":[76],"available":[77],"ground":[78],"truth":[79],"datasets,":[80],"evaluation":[82],"experiments":[83],"employed":[84],"field.":[87],"propose":[89],"promising":[91],"avenues":[92],"for":[93,113,117],"future":[94],"exploration:":[95],"(1)":[96],"leveraging":[97],"reviews":[99],"identify":[101],"explore":[103],"serendipity,":[104],"(2)":[105],"employing":[106],"reinforcement":[107],"construct":[110],"model":[112],"discerning":[114],"appropriate":[115],"timing":[116],"serendipitous":[118,127],"recommendations,":[119],"(3)":[121],"utilizing":[122],"cross-domain":[123],"enhance":[126],"recommendations.":[128],"With":[129],"this":[130,149],"review,":[131],"aim":[133],"cultivate":[135],"deeper":[137],"understanding":[138],"recommender":[142],"systems":[143],"inspire":[145],"further":[146],"advancements":[147],"domain.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
