{"id":"https://openalex.org/W1969289790","doi":"https://doi.org/10.1145/2187980.2188166","title":"Exploiting various implicit feedback for collaborative filtering","display_name":"Exploiting various implicit feedback for collaborative filtering","publication_year":2012,"publication_date":"2012-04-16","ids":{"openalex":"https://openalex.org/W1969289790","doi":"https://doi.org/10.1145/2187980.2188166","mag":"1969289790"},"language":"en","primary_location":{"id":"doi:10.1145/2187980.2188166","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","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/A5053759078","display_name":"Byoungju Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Byoungju Yang","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595608","display_name":"SangKeun Lee","orcid":"https://orcid.org/0000-0002-6249-8217"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangkeun Lee","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006078","display_name":"Sungchan Park","orcid":"https://orcid.org/0000-0002-6855-3643"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungchan Park","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102802605","display_name":"Sang\u2010goo Lee","orcid":"https://orcid.org/0000-0002-0063-0083"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-goo Lee","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053759078"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":2.9359,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91953767,"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":"639","last_page":"640"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9976999759674072,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.842856764793396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8283238410949707},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7980833649635315},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7141475677490234},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5020344257354736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4365195333957672},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36939728260040283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3624046742916107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36124131083488464}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.842856764793396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8283238410949707},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7980833649635315},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7141475677490234},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5020344257354736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4365195333957672},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36939728260040283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3624046742916107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36124131083488464},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2187980.2188166","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.8502","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.8502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2012.wwwconference.org/proceedings/companion/p639.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W124012131","https://openalex.org/W2101409192","https://openalex.org/W2171960770","https://openalex.org/W2217645240"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"So":[0],"far,":[1],"many":[2,52],"researchers":[3],"have":[4],"worked":[5],"on":[6],"recommender":[7],"systems":[8],"using":[9],"users'":[10,65,80],"implicit":[11,67],"feedback,":[12],"since":[13],"it":[14],"is":[15],"difficult":[16],"to":[17,73,87,118],"collect":[18],"explicit":[19],"item":[20,38,123],"preferences":[21,48],"in":[22,50],"most":[23],"applications.":[24],"Existing":[25],"researches":[26],"generally":[27],"use":[28],"a":[29,116],"pseudo-rating":[30,100],"matrix":[31],"by":[32],"adding":[33],"up":[34],"the":[35,119],"number":[36],"of":[37,109],"consumption;":[39],"however,":[40],"this":[41,60],"naive":[42],"approach":[43],"may":[44],"not":[45],"capture":[46],"user":[47,55],"correctly":[49],"that":[51,64],"other":[53],"important":[54],"activities":[56],"are":[57],"ignored.":[58],"In":[59],"paper,":[61],"we":[62,113],"show":[63],"diverse":[66],"feedbacks":[68],"can":[69],"be":[70],"significantly":[71],"used":[72],"improve":[74],"recommendation":[75],"accuracy.":[76],"We":[77],"classify":[78],"various":[79],"behaviors":[81],"(e.g.,":[82],"search":[83],"item,":[84],"skip,":[85],"add":[86],"playlist,":[88],"etc.)":[89],"into":[90,126],"positive":[91],"or":[92],"negative":[93],"feedback":[94],"groups":[95],"and":[96],"construct":[97],"more":[98],"accurate":[99],"matrix.":[101],"Our":[102],"preliminary":[103],"experimental":[104],"result":[105],"shows":[106],"significant":[107],"potential":[108],"our":[110],"approach.":[111],"Also,":[112],"bring":[114],"out":[115],"question":[117],"previous":[120],"approaches,":[121],"aggregating":[122],"usage":[124],"count":[125],"ratings.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
