{"id":"https://openalex.org/W4385848411","doi":"https://doi.org/10.1145/3604915.3608851","title":"Topic-Level Bayesian Surprise and Serendipity for Recommender Systems","display_name":"Topic-Level Bayesian Surprise and Serendipity for Recommender Systems","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4385848411","doi":"https://doi.org/10.1145/3604915.3608851"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.06368","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044409349","display_name":"Tonmoy Hasan","orcid":"https://orcid.org/0000-0002-2116-6822"},"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":"Tonmoy Hasan","raw_affiliation_strings":["Computer Science, UNC Charlotte, USA"],"raw_orcid":"https://orcid.org/0000-0002-2116-6822","affiliations":[{"raw_affiliation_string":"Computer Science, UNC Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020435927","display_name":"R\u0103zvan Bunescu","orcid":"https://orcid.org/0000-0003-2919-3566"},"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":"Razvan Bunescu","raw_affiliation_strings":["Computer Science, UNC Charlotte, USA"],"raw_orcid":"https://orcid.org/0000-0003-2919-3566","affiliations":[{"raw_affiliation_string":"Computer Science, UNC Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044409349"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":3.1389,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92848678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"933","last_page":"939"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.958977460861206},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.8734222650527954},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8334400653839111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6677306294441223},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.536555290222168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34864407777786255},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.28973937034606934},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09696641564369202},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.06256449222564697},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.057385653257369995}],"concepts":[{"id":"https://openalex.org/C2779119418","wikidata":"https://www.wikidata.org/wiki/Q166039","display_name":"Serendipity","level":2,"score":0.958977460861206},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.8734222650527954},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8334400653839111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677306294441223},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.536555290222168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34864407777786255},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28973937034606934},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09696641564369202},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.06256449222564697},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.057385653257369995},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3604915.3608851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.06368","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.06368","pdf_url":"https://arxiv.org/pdf/2308.06368","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.06368","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.06368","pdf_url":"https://arxiv.org/pdf/2308.06368","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385848411.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1583059097","https://openalex.org/W1971040550","https://openalex.org/W2003804278","https://openalex.org/W2009718036","https://openalex.org/W2031634675","https://openalex.org/W2049670925","https://openalex.org/W2122537498","https://openalex.org/W2147589600","https://openalex.org/W2155912844","https://openalex.org/W2161676175","https://openalex.org/W2168314852","https://openalex.org/W2341865734","https://openalex.org/W2562236173","https://openalex.org/W2604639157","https://openalex.org/W2605350416","https://openalex.org/W2795376812","https://openalex.org/W2811138351","https://openalex.org/W2893359107","https://openalex.org/W2896873311","https://openalex.org/W2913853152","https://openalex.org/W3012916621","https://openalex.org/W3016005719","https://openalex.org/W3087223341","https://openalex.org/W3088072029","https://openalex.org/W3094546485","https://openalex.org/W3138773240","https://openalex.org/W3152663991","https://openalex.org/W4225308835","https://openalex.org/W4229450430","https://openalex.org/W4284711791","https://openalex.org/W4288083766","https://openalex.org/W4384644549"],"related_works":["https://openalex.org/W4205615116","https://openalex.org/W2154428221","https://openalex.org/W2531086667","https://openalex.org/W4392612085","https://openalex.org/W35325473","https://openalex.org/W1876349746","https://openalex.org/W3125216959","https://openalex.org/W3021907593","https://openalex.org/W4312541699","https://openalex.org/W4385848411"],"abstract_inverted_index":{"A":[0],"recommender":[1],"system":[2],"that":[3,55,72,102,168,170],"optimizes":[4],"its":[5],"recommendations":[6],"solely":[7],"to":[8,29,38,44,58,81,144],"fit":[9],"a":[10,20,67,99,128],"user\u2019s":[11],"history":[12],"of":[13,70,85,119,130,160,181],"ratings":[14],"for":[15,50,113,122],"consumed":[16,90],"items":[17,31,46,54,86,109],"can":[18],"create":[19],"filter":[21],"bubble,":[22],"wherein":[23],"the":[24,83,94,117,178],"user":[25],"does":[26],"not":[27],"get":[28],"experience":[30],"from":[32,135],"novel,":[33],"unseen":[34],"categories.":[35],"One":[36],"approach":[37],"mitigate":[39],"this":[40,63,106],"undesired":[41],"behavior":[42],"is":[43,73],"recommend":[45],"with":[47,98,110,177],"high":[48,111],"potential":[49,112],"serendipity,":[51,125],"namely":[52],"surprising":[53],"are":[56,89],"likely":[57],"be":[59],"highly":[60],"rated.":[61],"In":[62],"paper,":[64],"we":[65,126,149],"propose":[66],"content-based":[68],"formulation":[69],"serendipity":[71,84],"rooted":[74],"in":[75,158],"Bayesian":[76,172],"surprise":[77,123,173,183],"and":[78,91,124,142,187],"use":[79,171],"it":[80],"measure":[82],"after":[87],"they":[88],"rated":[92],"by":[93,155],"user.":[95],"When":[96],"coupled":[97],"collaborative-filtering":[100],"component":[101],"identifies":[103],"similar":[104],"users,":[105],"enables":[107],"recommending":[108],"serendipity.":[114],"To":[115],"facilitate":[116],"evaluation":[118],"topic-level":[120,163,182],"models":[121,169],"introduce":[127],"dataset":[129],"book":[131],"reading":[132],"histories":[133],"extracted":[134],"Goodreads,":[136],"containing":[137],"over":[138],"26":[139],"thousand":[140],"users":[141,157],"close":[143],"1.3":[145],"million":[146],"books,":[147],"where":[148],"manually":[150],"annotate":[151],"449":[152],"books":[153],"read":[154],"4":[156],"terms":[159],"their":[161],"time-dependent,":[162],"surprise.":[164],"Experimental":[165],"evaluations":[166],"show":[167],"correlate":[174],"much":[175],"better":[176,190],"manual":[179],"annotations":[180],"than":[184],"distance-based":[185],"heuristics,":[186],"also":[188],"obtain":[189],"serendipitous":[191],"item":[192],"recommendation":[193],"performance.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}