{"id":"https://openalex.org/W3012916621","doi":"https://doi.org/10.1145/3366423.3380100","title":"Directional and Explainable Serendipity Recommendation","display_name":"Directional and Explainable Serendipity Recommendation","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012916621","doi":"https://doi.org/10.1145/3366423.3380100","mag":"3012916621"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380100","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380100","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380100","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100453921","display_name":"Xueqi Li","orcid":"https://orcid.org/0000-0002-1477-9276"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueqi Li","raw_affiliation_strings":["Hunan University"],"affiliations":[{"raw_affiliation_string":"Hunan University","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001777600","display_name":"Wenjun Jiang","orcid":"https://orcid.org/0000-0003-4985-7454"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Jiang","raw_affiliation_strings":["Hunan University"],"affiliations":[{"raw_affiliation_string":"Hunan University","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543632","display_name":"Weiguang Chen","orcid":"https://orcid.org/0000-0002-7945-3197"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguang Chen","raw_affiliation_strings":["Hunan University"],"affiliations":[{"raw_affiliation_string":"Hunan University","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600528","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-3472-1717"},"institutions":[{"id":"https://openalex.org/I2801004183","display_name":"Temple College","ror":"https://ror.org/038s1ax16","country_code":"US","type":"education","lineage":["https://openalex.org/I2801004183"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Temple University"],"affiliations":[{"raw_affiliation_string":"Temple University","institution_ids":["https://openalex.org/I2801004183","https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107946501","display_name":"Guojun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojun Wang","raw_affiliation_strings":["Guangzhou University"],"affiliations":[{"raw_affiliation_string":"Guangzhou University","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University"],"affiliations":[{"raw_affiliation_string":"Hunan University","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100453921"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":6.1388,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96556735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"132"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9771000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/serendipity","display_name":"Serendipity","score":0.9891682863235474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107110023498535},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6620094776153564},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6088411808013916},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5471046566963196},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44932231307029724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42201676964759827},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4180504083633423},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3707783818244934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3580796718597412},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34872639179229736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12489405274391174},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.08116522431373596}],"concepts":[{"id":"https://openalex.org/C2779119418","wikidata":"https://www.wikidata.org/wiki/Q166039","display_name":"Serendipity","level":2,"score":0.9891682863235474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107110023498535},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6620094776153564},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6088411808013916},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5471046566963196},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44932231307029724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42201676964759827},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4180504083633423},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3707783818244934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3580796718597412},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34872639179229736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12489405274391174},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.08116522431373596},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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":1,"locations":[{"id":"doi:10.1145/3366423.3380100","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380100","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380100","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380100","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1981367467","https://openalex.org/W2007636657","https://openalex.org/W2045453095","https://openalex.org/W2120636621","https://openalex.org/W2136848157","https://openalex.org/W2161676175","https://openalex.org/W2202271862","https://openalex.org/W2219888463","https://openalex.org/W2280267672","https://openalex.org/W2298099981","https://openalex.org/W2396967885","https://openalex.org/W2514091133","https://openalex.org/W2594211397","https://openalex.org/W2785994986","https://openalex.org/W2795376812","https://openalex.org/W2808787330","https://openalex.org/W2892219257","https://openalex.org/W2893370267","https://openalex.org/W2896334556","https://openalex.org/W2896873311","https://openalex.org/W2903119928","https://openalex.org/W2906814785","https://openalex.org/W2911286998","https://openalex.org/W2911946608","https://openalex.org/W2913853152","https://openalex.org/W2947612811","https://openalex.org/W2963703618","https://openalex.org/W2964961855","https://openalex.org/W2984626257","https://openalex.org/W3098649723","https://openalex.org/W3102888024","https://openalex.org/W3104731853","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W4205615116","https://openalex.org/W2154428221","https://openalex.org/W2531086667","https://openalex.org/W2045676999","https://openalex.org/W35325473","https://openalex.org/W3125216959","https://openalex.org/W2129390568","https://openalex.org/W4312541699","https://openalex.org/W2901850002","https://openalex.org/W1657011257"],"abstract_inverted_index":{"Serendipity":[0,85],"recommendation":[1],"has":[2],"attracted":[3],"more":[4,6],"and":[5,62,83,106,130,159,161],"attention":[7],"in":[8],"recent":[9],"years;":[10],"it":[11],"is":[12,66,141],"committed":[13],"to":[14,22,69,123,143,164],"providing":[15],"recommendations":[16,134],"which":[17,48],"could":[18,154],"not":[19],"only":[20],"cater":[21],"users\u2019":[23,60,93],"demands":[24,110,129],"but":[25,64],"also":[26],"broaden":[27],"their":[28,108],"horizons.":[29],"However,":[30],"existing":[31,169],"approaches":[32],"usually":[33],"measure":[34],"user-item":[35],"relevance":[36],"with":[37,96,111,127,135,168],"a":[38,42,81,138],"scalar":[39],"instead":[40],"of":[41,52],"vector,":[43],"ignoring":[44],"user":[45],"preference":[46],"direction,":[47],"increases":[49],"the":[50,112,120,157,165],"risk":[51],"unrelated":[53],"recommendations.":[54,74],"In":[55],"addition,":[56],"reasonable":[57],"explanations":[58,71],"increase":[59],"trust":[61],"acceptance,":[63],"there":[65],"no":[67],"work":[68],"provide":[70],"for":[72],"serendipitous":[73,133],"To":[75],"address":[76],"these":[77],"limitations,":[78],"we":[79,91,118],"propose":[80,119],"Directional":[82],"Explainable":[84],"Recommendation":[86],"method":[87,99],"named":[88],"DESR.":[89],"Specifically,":[90],"extract":[92],"long-term":[94,125],"preferences":[95,126],"an":[97],"unsupervised":[98],"based":[100],"on":[101,148],"GMM":[102],"(Gaussian":[103],"Mixture":[104],"Model)":[105],"capture":[107],"short-term":[109,128],"capsule":[113],"network":[114],"at":[115],"first.":[116],"Then,":[117],"serendipity":[121,158],"vector":[122],"combine":[124],"generate":[131],"directionally":[132],"it.":[136],"Finally,":[137],"back-routing":[139],"scheme":[140],"exploited":[142],"offer":[144],"explanations.":[145],"Extensive":[146],"experiments":[147],"real-world":[149],"datasets":[150],"show":[151],"that":[152],"DESR":[153],"effectively":[155],"improve":[156],"explainability,":[160],"give":[162],"impetus":[163],"diversity,":[166],"compared":[167],"serendipity-based":[170],"methods.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}