{"id":"https://openalex.org/W2340802269","doi":"https://doi.org/10.1145/2911451.2911488","title":"How Much Novelty is Relevant?","display_name":"How Much Novelty is Relevant?","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2340802269","doi":"https://doi.org/10.1145/2911451.2911488","mag":"2340802269"},"language":"en","primary_location":{"id":"doi:10.1145/2911451.2911488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","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/A5101768104","display_name":"Pengfei Zhao","orcid":"https://orcid.org/0000-0001-5877-7857"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Pengfei Zhao","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036572194","display_name":"Dik Lun Lee","orcid":"https://orcid.org/0000-0002-2413-3882"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dik Lun Lee","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101768104"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":9.2887,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.97711417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9908000230789185,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9887999892234802,"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/curiosity","display_name":"Curiosity","score":0.9639445543289185},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7604397535324097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428704500198364},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.556402862071991},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4978933334350586},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4707655906677246},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42620521783828735},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40257352590560913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36169517040252686},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13750001788139343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11070403456687927}],"concepts":[{"id":"https://openalex.org/C33435437","wikidata":"https://www.wikidata.org/wiki/Q366791","display_name":"Curiosity","level":2,"score":0.9639445543289185},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7604397535324097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428704500198364},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.556402862071991},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4978933334350586},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4707655906677246},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42620521783828735},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40257352590560913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36169517040252686},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13750001788139343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11070403456687927},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2911451.2911488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-77839","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-77839","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-77839","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=978-1-4503-4069-4/16/07&rft.volume=&rft.issue=&rft.date=2016&rft.spage=100&rft.aulast=Zhao&rft.aufirst=Pengfei%7C014699&rft.atitle=How+Much+Novelty+is+Relevant%3F+It+Depends+on+Your+Curiosity&rft.title=SIGIR2016%2C+Pissa%2C+Italy","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1529388454","https://openalex.org/W1757045719","https://openalex.org/W1763311249","https://openalex.org/W1973397896","https://openalex.org/W1993972354","https://openalex.org/W2033213271","https://openalex.org/W2045453095","https://openalex.org/W2049750575","https://openalex.org/W2054141820","https://openalex.org/W2097951507","https://openalex.org/W2107527215","https://openalex.org/W2108630796","https://openalex.org/W2111094216","https://openalex.org/W2117651526","https://openalex.org/W2119825970","https://openalex.org/W2144807535","https://openalex.org/W2155912844","https://openalex.org/W2203455183","https://openalex.org/W2295739661"],"related_works":["https://openalex.org/W3094054656","https://openalex.org/W4285676344","https://openalex.org/W2123270665","https://openalex.org/W4382584175","https://openalex.org/W2060310955","https://openalex.org/W2284924956","https://openalex.org/W3043413210","https://openalex.org/W3039898216","https://openalex.org/W2185422427","https://openalex.org/W2478680874"],"abstract_inverted_index":{"Traditional":[0],"recommendation":[1,35,103,277],"systems":[2,36],"(RS's)":[3],"aim":[4],"to":[5,11,24,30,116,223,236,256,268],"recommend":[6],"items":[7,18,192],"that":[8,67,206,254,266],"are":[9,194],"relevant":[10,196],"the":[12,16,25,51,54,59,93,118,144,168,183,187,204,207,212,225,229,238,243,257,269,276],"user's":[13,119,159,169,213,270],"interest.":[14,33],"Unfortunately,":[15,61],"recommended":[17],"will":[19],"soon":[20],"become":[21],"too":[22],"familiar":[23],"user":[26,133,184],"and":[27,47,49,56,84,148,172,197,220],"hence":[28],"fail":[29],"arouse":[31],"her":[32],"Discovery-oriented":[34],"(DORS's)":[37],"complement":[38],"accuracy":[39,57],"with":[40,110,161],"\"discover":[41],"utilities\"":[42],"(DU's)":[43],"such":[44],"as":[45],"novelty":[46],"diversity":[48],"optimize":[50],"tradeoff":[52],"between":[53],"DU's":[55,115,210],"of":[58,114,125,132,209,240],"recommendations.":[60,230],"DORS's":[62],"ignore":[63],"an":[64],"important":[65],"fact":[66],"different":[68,71],"users":[69,79,89],"have":[70,198,233],"appetites":[72],"for":[73,177],"DU's.":[74],"That":[75],"is,":[76],"highly":[77,82],"curious":[78,182],"can":[80],"accept":[81],"novel":[83],"diversified":[85],"recommendations":[86,109,265],"whereas":[87],"conservative":[88],"would":[90],"behave":[91],"in":[92,151],"opposite":[94],"manner.":[95],"In":[96,154],"this":[97,126],"paper,":[98],"we":[99,156],"propose":[100],"a":[101,111,129,158,162,174,246],"curiosity-based":[102],"system":[104],"(CBRS)":[105],"framework":[106],"which":[107,140,193],"generates":[108],"personalized":[112,264],"amount":[113,208],"fit":[117],"curiosity":[120,145,160,163,226,271],"level.":[121],"The":[122,251],"major":[123],"contribution":[124],"paper":[127],"is":[128,141,185],"computational":[130],"model":[131,157],"curiosity,":[134],"called":[135],"Probabilistic":[136],"Curiosity":[137],"Model":[138],"(PCM),":[139],"based":[142],"on":[143],"arousal":[146],"theory":[147],"Wundt":[149],"curve":[150],"psychology":[152],"research.":[153],"PCM,":[155],"distribution":[164],"function":[165],"learnt":[166],"from":[167,249],"access":[170],"history":[171],"compute":[173],"curiousness":[175,200],"score":[176],"each":[178],"item":[179],"representing":[180],"how":[181],"about":[186],"item.":[188],"CBRS":[189,241,259],"then":[190],"selects":[191],"both":[195],"high":[199],"score,":[201],"bounded":[202],"by":[203],"constraint":[205],"fits":[211],"DU":[214],"appetite.":[215],"We":[216],"use":[217],"joint":[218],"optimization":[219],"co-factorization":[221],"approaches":[222],"incorporate":[224],"signal":[227],"into":[228],"Extensive":[231],"experiments":[232],"been":[234],"performed":[235],"evaluate":[237],"performance":[239],"against":[242],"baselines":[244,258],"using":[245],"music":[247],"dataset":[248],"last.fm.":[250],"results":[252],"show":[253],"compared":[255],"not":[260],"only":[261],"provides":[262],"more":[263],"adapt":[267],"level":[272],"but":[273],"also":[274],"improves":[275],"accuracy.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}