{"id":"https://openalex.org/W2047729491","doi":"https://doi.org/10.1145/2806416.2806528","title":"Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks","display_name":"Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W2047729491","doi":"https://doi.org/10.1145/2806416.2806528","mag":"2047729491"},"language":"en","primary_location":{"id":"doi:10.1145/2806416.2806528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","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/A5100705849","display_name":"Chuan Shi","orcid":"https://orcid.org/0000-0002-3734-0266"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuan Shi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346697","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0001-7857-175X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Bejing, China","Beijing University of Posts and Telecommunications, Bejing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Bejing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Bejing, China#TAB#","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752685","display_name":"Ping Luo","orcid":"https://orcid.org/0000-0002-6645-4721"},"institutions":[{"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"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Luo","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010985013","display_name":"Yading Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yading Yue","raw_affiliation_strings":["Tencent Corporation, Beijing, China","Tencent Corporation, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tencent Corporation, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Corporation, Beijing, China#TAB#","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043114890","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0001-5787-9536"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100705849"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":51.4394,"has_fulltext":false,"cited_by_count":298,"citation_normalized_percentile":{"value":0.99857103,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"453","last_page":"462"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9976999759674072,"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":0.8488335013389587},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7463990449905396},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.687289834022522},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6366291046142578},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6116998195648193},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5705624222755432},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.557558536529541},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4093870520591736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2864440083503723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8488335013389587},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7463990449905396},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.687289834022522},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6366291046142578},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6116998195648193},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5705624222755432},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.557558536529541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4093870520591736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2864440083503723},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2806416.2806528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1967863517","https://openalex.org/W1984757319","https://openalex.org/W2005098805","https://openalex.org/W2010187764","https://openalex.org/W2017710739","https://openalex.org/W2075010670","https://openalex.org/W2083381833","https://openalex.org/W2098711168","https://openalex.org/W2108754253","https://openalex.org/W2110096996","https://openalex.org/W2137245235","https://openalex.org/W2138759931","https://openalex.org/W2144487656","https://openalex.org/W2152755144","https://openalex.org/W2950053252","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W2042906257"],"abstract_inverted_index":{"Recently":[0],"heterogeneous":[1,181],"information":[2,60,65,182,210],"network":[3],"(HIN)":[4],"analysis":[5],"has":[6],"attracted":[7],"a":[8,31,56,155],"lot":[9,32],"of":[10,33,66,107,168,214],"attention,":[11],"and":[12,40,46,62,86,118,135,187],"many":[13],"data":[14,25],"mining":[15,26],"tasks":[16],"have":[17],"been":[18],"exploited":[19],"on":[20,84,170,193,196],"HIN.":[21,57],"As":[22],"an":[23],"important":[24],"task,":[27],"recommender":[28,121],"system":[29],"includes":[30],"object":[34,51],"types":[35],"(e.g.,":[36],"users,":[37],"movies,":[38],"actors,":[39],"interest":[41],"groups":[42],"in":[43,92,120],"movie":[44],"recommendation)":[45],"the":[47,81,87,105,128,132,143,165,212],"rich":[48,63],"relations":[49,100],"among":[50,101],"types,":[52],"which":[53],"naturally":[54],"constitute":[55],"The":[58],"comprehensive":[59],"integration":[61],"semantic":[64,99,156],"HIN":[67,93,134],"make":[68],"it":[69],"promising":[70],"to":[71,96,104,114,130,140,163],"generate":[72],"better":[73,204],"recommendations.":[74],"However,":[75],"conventional":[76],"HINs":[77],"do":[78],"not":[79,177],"consider":[80],"attribute":[82,150],"values":[83],"links,":[85],"widely":[88],"used":[89],"meta":[90,137,174,216],"path":[91,138,144,157],"may":[94],"fail":[95],"accurately":[97],"capture":[98],"objects,":[102],"due":[103],"existence":[106],"rating":[108,166],"scores":[109,167],"(usually":[110],"ranging":[111],"from":[112],"1":[113],"5)":[115],"between":[116],"users":[117,169],"items":[119],"system.":[122],"In":[123],"this":[124],"paper,":[125],"we":[126,153],"are":[127],"first":[129],"propose":[131,154],"weighted":[133,136,215],"concepts":[139],"subtly":[141],"depict":[142],"semantics":[145],"through":[146,207],"distinguishing":[147],"different":[148],"link":[149],"values.":[151],"Furthermore,":[152],"based":[158],"personalized":[159,188],"recommendation":[160,205],"method":[161],"SemRec":[162,176,202],"predict":[164],"items.":[171],"Through":[172],"setting":[173],"paths,":[175],"only":[178],"flexibly":[179,208],"integrates":[180],"but":[183],"also":[184],"obtains":[185],"prioritized":[186],"weights":[189],"representing":[190],"user":[191],"preferences":[192],"paths.":[194,217],"Experiments":[195],"two":[197],"real":[198],"datasets":[199],"illustrate":[200],"that":[201],"achieves":[203],"performance":[206],"integrating":[209],"with":[211],"help":[213]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":46},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":47},{"year":2019,"cited_by_count":42},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
