{"id":"https://openalex.org/W4200212775","doi":"https://doi.org/10.1145/3486673","title":"LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation","display_name":"LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4200212775","doi":"https://doi.org/10.1145/3486673"},"language":"en","primary_location":{"id":"doi:10.1145/3486673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486673","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5100654780","display_name":"Surong Yan","orcid":"https://orcid.org/0000-0003-0976-1159"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Surong Yan","raw_affiliation_strings":["Zhejiang University of Finance and Economics, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics, Hangzhou, China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443072","display_name":"Kwei-Jay Lin","orcid":"https://orcid.org/0000-0002-3124-5487"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwei-Jay Lin","raw_affiliation_strings":["University of California, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074603286","display_name":"Xiaolin Zheng","orcid":"https://orcid.org/0000-0001-5483-0366"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Zheng","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087410874","display_name":"Haosen Wang","orcid":"https://orcid.org/0000-0002-5445-3676"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haosen Wang","raw_affiliation_strings":["Zhejiang University of Finance and Economics, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics, Hangzhou, China","institution_ids":["https://openalex.org/I90727586"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100654780"],"corresponding_institution_ids":["https://openalex.org/I90727586"],"apc_list":null,"apc_paid":null,"fwci":1.9278,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89084393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9894000291824341,"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":0.8325529098510742},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7163691520690918},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.6904196739196777},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6323798894882202},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6048031449317932},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5050123333930969},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4521808326244354},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3724793791770935},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3679719865322113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3519335389137268},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3311901092529297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27326256036758423},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1379338800907135},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13267773389816284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8325529098510742},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7163691520690918},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.6904196739196777},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6323798894882202},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6048031449317932},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5050123333930969},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4521808326244354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3724793791770935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3679719865322113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3519335389137268},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3311901092529297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27326256036758423},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1379338800907135},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13267773389816284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486673","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1038334594","display_name":null,"funder_award_id":"108-2633-E-002-001","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G1070498037","display_name":null,"funder_award_id":"NTU-108L104039","funder_id":"https://openalex.org/F4320323900","funder_display_name":"National Taiwan University"},{"id":"https://openalex.org/G5944837575","display_name":null,"funder_award_id":"61972337, and 61502414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320323900","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W1971040550","https://openalex.org/W2010187764","https://openalex.org/W2017710739","https://openalex.org/W2027731328","https://openalex.org/W2047729491","https://openalex.org/W2061873838","https://openalex.org/W2062797058","https://openalex.org/W2075010670","https://openalex.org/W2154851992","https://openalex.org/W2251363251","https://openalex.org/W2509893387","https://openalex.org/W2550483918","https://openalex.org/W2604314403","https://openalex.org/W2725606191","https://openalex.org/W2734755249","https://openalex.org/W2743104969","https://openalex.org/W2743159750","https://openalex.org/W2759136286","https://openalex.org/W2767724106","https://openalex.org/W2792839191","https://openalex.org/W2801992635","https://openalex.org/W2807021761","https://openalex.org/W2884134047","https://openalex.org/W2893085659","https://openalex.org/W2911778742","https://openalex.org/W2912351665","https://openalex.org/W2945266622","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2951105272","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2963323306","https://openalex.org/W2963485453","https://openalex.org/W2963707260","https://openalex.org/W2963869731","https://openalex.org/W3011809564","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3048405543","https://openalex.org/W3081520483","https://openalex.org/W3098087397","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3104097132","https://openalex.org/W3106445281","https://openalex.org/W3106867121"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W2374808384","https://openalex.org/W2385449752","https://openalex.org/W3177075132"],"abstract_inverted_index":{"Explicit":[0],"and":[1,6,14,60,105,115,131,156,175,187,195],"implicit":[2],"knowledge":[3,26,37],"about":[4],"users":[5,104,130,138],"items":[7,106,132],"have":[8],"been":[9],"used":[10],"to":[11,30,80,91,110,133],"describe":[12],"complex":[13],"heterogeneous":[15],"side":[16],"information":[17],"for":[18,54,83,103],"recommender":[19],"systems":[20],"(RSs).":[21],"Many":[22],"existing":[23,171,193],"methods":[24,194],"use":[25],"graph":[27,38],"embedding":[28,72],"(KGE)":[29],"learn":[31],"the":[32,56,63,100,126,135],"representation":[33],"of":[34,58,129,137,167,192],"a":[35,48,69,148,164,184],"user-item":[36,145],"(KG)":[39],"in":[40],"low-dimensional":[41],"space.":[42],"In":[43],"this":[44],"article,":[45],"we":[46,120],"propose":[47],"lightweight":[49,70],"end-to-end":[50],"joint":[51],"learning":[52],"framework":[53],"fusing":[55],"tasks":[57],"KGE":[59],"RSs":[61],"at":[62],"model":[64,112,134],"level.":[65],"Our":[66,96],"method":[67,73,97,161,181],"proposes":[68],"KG":[71,146],"by":[74],"using":[75,87],"bidirectional":[76],"bijection":[77],"relation-type":[78],"modeling":[79],"enable":[81],"scalability":[82],"large":[84],"graphs":[85],"while":[86],"self-adaptive":[88],"negative":[89,93],"sampling":[90],"optimize":[92],"sample":[94],"generating.":[95],"further":[98],"generates":[99],"integrated":[101,127],"views":[102,128],"based":[107],"on":[108,139,153],"relation-types":[109],"explicitly":[111],"users\u2019":[113],"preferences":[114,136],"items\u2019":[116],"features,":[117],"respectively.":[118],"Finally,":[119],"add":[121],"virtual":[122],"\u201crecommendation\u201d":[123],"relations":[124],"between":[125],"items,":[140],"seamlessly":[141],"integrating":[142],"RS":[143],"with":[144,170],"over":[147],"unified":[149],"graph.":[150],"Experimental":[151],"results":[152],"multiple":[154],"datasets":[155],"benchmarks":[157],"show":[158],"that":[159,179],"our":[160,180],"can":[162,182],"achieve":[163],"better":[165],"accuracy":[166],"recommendation":[168],"compared":[169],"state-of-the-art":[172],"methods.":[173],"Complexity":[174],"runtime":[176],"analysis":[177],"suggests":[178],"gain":[183],"lower":[185],"time":[186],"space":[188],"complexity":[189],"than":[190],"most":[191],"improve":[196],"scalability.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
