{"id":"https://openalex.org/W3159187086","doi":"https://doi.org/10.1145/3412841.3442012","title":"Incorporating multi-level positive feedback to session-based nearest-neighbor","display_name":"Incorporating multi-level positive feedback to session-based nearest-neighbor","publication_year":2021,"publication_date":"2021-03-22","ids":{"openalex":"https://openalex.org/W3159187086","doi":"https://doi.org/10.1145/3412841.3442012","mag":"3159187086"},"language":"en","primary_location":{"id":"doi:10.1145/3412841.3442012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3412841.3442012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th Annual ACM Symposium on Applied Computing","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/A5114378267","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-9205-1881"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Fuji Xerox Co., Ltd, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd, Yokohama, Japan","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026575535","display_name":"Masahiro Sato","orcid":"https://orcid.org/0000-0003-0000-6341"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Sato","raw_affiliation_strings":["Fuji Xerox Co., Ltd, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd, Yokohama, Japan","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074964546","display_name":"Sho Takemori","orcid":"https://orcid.org/0000-0003-2303-824X"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sho Takemori","raw_affiliation_strings":["Fuji Xerox Co., Ltd, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd, Yokohama, Japan","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037841139","display_name":"Tomoko Ohkuma","orcid":"https://orcid.org/0000-0002-5078-4814"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoko Ohkuma","raw_affiliation_strings":["Fuji Xerox Co., Ltd, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd, Yokohama, Japan","institution_ids":["https://openalex.org/I15009632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114378267"],"corresponding_institution_ids":["https://openalex.org/I15009632"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06785024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1371","last_page":"1374"},"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":0.9988999962806702,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.8252880573272705},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.8103854656219482},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.7314624786376953},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6598815321922302},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6211145520210266},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6089006662368774},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5676784515380859},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46330931782722473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.342578649520874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34009063243865967},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3305184841156006},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32916486263275146},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1428215205669403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08684107661247253},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07053738832473755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252880573272705},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8103854656219482},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.7314624786376953},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6598815321922302},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6211145520210266},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6089006662368774},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5676784515380859},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46330931782722473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.342578649520874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34009063243865967},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3305184841156006},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32916486263275146},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1428215205669403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08684107661247253},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07053738832473755},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3412841.3442012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3412841.3442012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1981844236","https://openalex.org/W2166237624","https://openalex.org/W2469952266","https://openalex.org/W2517217469","https://openalex.org/W2620760926","https://openalex.org/W2746011824","https://openalex.org/W2795199972","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2912057614","https://openalex.org/W2964044287","https://openalex.org/W2972941122","https://openalex.org/W3101063193","https://openalex.org/W3101707147"],"related_works":["https://openalex.org/W2888918612","https://openalex.org/W2166285859","https://openalex.org/W3148597776","https://openalex.org/W1538206641","https://openalex.org/W2025370853","https://openalex.org/W3211656382","https://openalex.org/W2060412688","https://openalex.org/W1972183506","https://openalex.org/W4235940179","https://openalex.org/W1657011257"],"abstract_inverted_index":{"User":[0],"feedback":[1,24,63,89],"such":[2,86,136],"as":[3,13],"clicks,":[4],"likes":[5],"and":[6],"follows":[7],"is":[8,26,37],"widely":[9],"considered":[10,65],"positive":[11,56,88],"signal,":[12],"users":[14,140],"infer":[15],"their":[16,70],"preference":[17,76],"through":[18],"these":[19],"signals.":[20],"However,":[21],"a":[22,29,42,49,104],"click":[23],"that":[25,32,40,107,134],"intended":[27],"for":[28,111,151],"purchase":[30],"indicates":[31],"the":[33,54,74,125,142],"user's":[34],"interest":[35],"level":[36],"greater":[38],"than":[39],"of":[41,61,69,78,127,139],"user":[43,62],"who":[44],"clicks":[45],"just":[46],"to":[47,72,90,102,123,146],"view":[48],"page.":[50],"Thus,":[51],"compared":[52],"with":[53,141],"unary":[55],"feedback,":[57],"some":[58],"other":[59],"types":[60],"are":[64],"more":[66],"reliable":[67],"because":[68],"ability":[71],"indicate":[73],"different":[75,120],"levels":[77],"users.":[79],"Some":[80],"recommender":[81],"systems":[82],"focus":[83],"on":[84,119],"using":[85],"multiple-level":[87,137],"develop":[91],"model-based":[92],"methods.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,115],"take":[98],"them":[99],"into":[100],"account":[101],"implement":[103],"nearest-neighbor":[105],"method":[106],"demonstrates":[108],"competitive":[109],"performance":[110,150],"session-based":[112,152],"recommendation.":[113,153],"Herein,":[114],"present":[116],"experimental":[117],"evaluations":[118],"domain":[121],"datasets":[122],"demonstrate":[124],"benefits":[126],"our":[128],"proposed":[129],"method.":[130],"Our":[131],"results":[132],"show":[133],"incorporating":[135],"preferences":[138],"neighbor-based":[143],"model":[144],"leads":[145],"an":[147],"improvement":[148],"in":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}