{"id":"https://openalex.org/W2497911325","doi":"https://doi.org/10.1145/2872518.2889349","title":"HLBPR","display_name":"HLBPR","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2497911325","doi":"https://doi.org/10.1145/2872518.2889349","mag":"2497911325"},"language":"en","primary_location":{"id":"doi:10.1145/2872518.2889349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2872518.2889349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion","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/A5101755392","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0003-0144-1775"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Chen","raw_affiliation_strings":["School of Software Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399541","display_name":"Pengfei Wang","orcid":"https://orcid.org/0000-0001-8658-7102"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Wang","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460210","display_name":"Zheng Qin","orcid":"https://orcid.org/0000-0002-7090-7869"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Qin","raw_affiliation_strings":["School of Software Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329828","display_name":"Yongfeng Zhang","orcid":"https://orcid.org/0000-0003-2633-8555"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfeng Zhang","raw_affiliation_strings":["Department of Computer Science and Technology Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101755392"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.9713,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96192331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T11106","display_name":"Data Management and Algorithms","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.855120062828064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7786332368850708},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6150438189506531},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6122936010360718},{"id":"https://openalex.org/keywords/business-process-reengineering","display_name":"Business process reengineering","score":0.6115605235099792},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5976892709732056},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5967154502868652},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5490782260894775},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.516895055770874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46362853050231934},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4264713525772095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41095688939094543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37337902188301086},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21498581767082214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10615015029907227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09777963161468506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09515297412872314}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.855120062828064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786332368850708},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6150438189506531},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6122936010360718},{"id":"https://openalex.org/C29143872","wikidata":"https://www.wikidata.org/wiki/Q876690","display_name":"Business process reengineering","level":3,"score":0.6115605235099792},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5976892709732056},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5967154502868652},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5490782260894775},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.516895055770874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46362853050231934},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4264713525772095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41095688939094543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37337902188301086},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21498581767082214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10615015029907227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09777963161468506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09515297412872314},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C137335462","wikidata":"https://www.wikidata.org/wiki/Q380772","display_name":"Lean manufacturing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2872518.2889349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2872518.2889349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion","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":4,"referenced_works":["https://openalex.org/W1652763299","https://openalex.org/W1981844236","https://openalex.org/W1991055526","https://openalex.org/W2140310134"],"related_works":["https://openalex.org/W2143460112","https://openalex.org/W1601713026","https://openalex.org/W7848518","https://openalex.org/W1509467138","https://openalex.org/W2061996664","https://openalex.org/W4245118269","https://openalex.org/W2798881875","https://openalex.org/W3088559275","https://openalex.org/W2182671698","https://openalex.org/W2583883062"],"abstract_inverted_index":{"Bayesian":[0,49],"Personal":[1,50],"Ranking(BPR)":[2],"method":[3,21],"is":[4,58],"a":[5,43],"well-known":[6],"model":[7],"due":[8],"to":[9,23,34,59,78],"its":[10],"high":[11],"performance":[12],"in":[13],"the":[14,28,66,75,80,90,98],"task":[15],"of":[16,92],"item":[17,62],"recommendation.":[18],"However,":[19],"this":[20,32],"fail":[22],"distinguish":[24],"user":[25],"preference":[26,63],"among":[27,65],"non-interacted":[29],"items.":[30],"In":[31],"paper,":[33],"enhance":[35],"traditional":[36],"BPR's":[37],"performance,":[38],"we":[39],"introduce":[40],"and":[41,72],"analyse":[42],"hybrid":[44],"method,":[45],"namely":[46],"Hybrid":[47],"Local":[48],"Ranking":[51],"method(HLBPR":[52],"for":[53],"short).":[54],"Our":[55],"main":[56],"idea":[57],"construct":[60],"additional":[61],"pairs":[64,77],"products":[67],"which":[68],"haven't":[69],"been":[70],"purchased,":[71],"then":[73],"utilize":[74],"extened":[76],"optimize":[79],"ranking":[81],"object.":[82],"Experiments":[83],"on":[84],"two":[85],"real-world":[86],"transaction":[87],"datasets":[88],"demonstrated":[89],"effectiveness":[91],"our":[93],"approach":[94],"as":[95],"compared":[96],"with":[97],"state-of-the-art":[99],"methods.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-08-23T00:00:00"}
