{"id":"https://openalex.org/W2767719399","doi":"https://doi.org/10.1145/3132847.3132976","title":"Broad Learning based Multi-Source Collaborative Recommendation","display_name":"Broad Learning based Multi-Source Collaborative Recommendation","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767719399","doi":"https://doi.org/10.1145/3132847.3132976","mag":"2767719399"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052097137","display_name":"Junxing Zhu","orcid":"https://orcid.org/0000-0001-5221-1318"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxing Zhu","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462813","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0001-7393-710X"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["Florida State University, Tallahassee, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071709543","display_name":"Lifang He","orcid":"https://orcid.org/0000-0001-7810-9071"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifang He","raw_affiliation_strings":["Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051335238","display_name":"Quanyuan Wu","orcid":"https://orcid.org/0000-0002-6553-9299"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanyuan Wu","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101740900","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0002-7242-6647"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017147857","display_name":"Chenwei Zhang","orcid":"https://orcid.org/0000-0002-0488-4603"},"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":"Chenwei Zhang","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","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 & Tsinghua University, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago & Tsinghua University, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8839,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9534612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1409","last_page":"1418"},"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":0.9961000084877014,"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/T11478","display_name":"Caching and Content Delivery","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8382973670959473},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.587398886680603},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.581549346446991},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.568916380405426},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5328391790390015},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4881175458431244},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4692511558532715},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.45946192741394043},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45440974831581116},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.436975359916687},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4227685332298279},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4182821810245514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40695980191230774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40128564834594727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8382973670959473},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.587398886680603},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.581549346446991},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.568916380405426},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5328391790390015},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4881175458431244},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4692511558532715},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.45946192741394043},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45440974831581116},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.436975359916687},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4227685332298279},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4182821810245514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40695980191230774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40128564834594727},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3132976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G4464397196","display_name":null,"funder_award_id":"No. 61502517, No.61372191, No. 61572492, No.61503253","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/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W193545200","https://openalex.org/W1496564895","https://openalex.org/W1502375784","https://openalex.org/W1613613084","https://openalex.org/W1968130046","https://openalex.org/W1980680715","https://openalex.org/W1996921275","https://openalex.org/W2000472440","https://openalex.org/W2009871859","https://openalex.org/W2011399509","https://openalex.org/W2017710739","https://openalex.org/W2022580894","https://openalex.org/W2042281163","https://openalex.org/W2047532797","https://openalex.org/W2055345291","https://openalex.org/W2057228200","https://openalex.org/W2058036501","https://openalex.org/W2074407292","https://openalex.org/W2092224064","https://openalex.org/W2109480754","https://openalex.org/W2117420919","https://openalex.org/W2123224804","https://openalex.org/W2144487656","https://openalex.org/W2148019918","https://openalex.org/W2165395308","https://openalex.org/W2183585960","https://openalex.org/W2203034355","https://openalex.org/W2245341025","https://openalex.org/W2247394048","https://openalex.org/W2395579298","https://openalex.org/W2484372584","https://openalex.org/W2583316528","https://openalex.org/W2585185247","https://openalex.org/W2950053252","https://openalex.org/W2963184995","https://openalex.org/W6684295950"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Anchor":[0],"links":[1,32,106],"connect":[2],"information":[3,19,91,96,112,116,140],"entities,":[4],"such":[5,40],"as":[6,41],"entities":[7],"of":[8,63,126,164],"movies":[9],"or":[10,65],"products,":[11],"across":[12,117],"networks":[13,22,118],"from":[14,119,124],"different":[15,120,123,169,210,220],"sources,":[16],"and":[17,46,92,113,171,196,213],"thus":[18],"in":[20,98,209],"these":[21],"can":[23,60,87,108,131],"be":[24],"transferred":[25],"directly":[26],"via":[27,138],"anchor":[28,31,105],"links.":[29],"Therefore,":[30],"have":[33],"great":[34,215],"value":[35],"to":[36,160,178,187],"many":[37],"cross-network":[38,42,47,154],"applications,":[39],"social":[43],"link":[44],"prediction":[45],"recommendation.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,71],"focus":[53],"on":[54,82,103,143,217],"studying":[55],"the":[56,69,94,127,139,144,149,162,180,189],"recommendation":[57,79,134,198],"problem":[58,97],"that":[59,204],"provide":[61],"ratings":[62],"items":[64],"services.":[66],"To":[67],"address":[68],"problem,":[70],"propose":[72],"a":[73,152,172],"Cross-network":[74],"Collaborative":[75],"Matrix":[76],"Factorization":[77],"(CCMF)":[78],"framework":[80],"based":[81,142],"broad":[83,145],"learning":[84,146],"setting,":[85],"which":[86],"effectively":[88],"integrate":[89],"multi-source":[90,133],"alleviate":[93],"sparse":[95,222],"each":[99],"individual":[100],"network.":[101],"Based":[102],"item":[104,110,114,165],"CCMF":[107,130,191,205],"fuse":[109],"similarity":[111,155],"latent":[115],"sources.":[121],"And":[122],"most":[125],"traditional":[128],"works,":[129],"make":[132],"tasks":[135],"collaborate":[136],"together":[137],"transfer":[141,150,156],"setting.":[147],"During":[148],"process,":[151],"novel":[153],"method":[157,192],"is":[158,176],"applied":[159],"keep":[161],"consistency":[163],"similarities":[166],"between":[167],"two":[168],"networks,":[170],"domain":[173,181],"adaptation":[174],"matrix":[175],"used":[177],"overcome":[179],"difference":[182],"problem.":[183],"We":[184],"conduct":[185],"experiments":[186],"compare":[188],"proposed":[190],"with":[193,219],"both":[194],"classic":[195],"state-of-the-art":[197],"techniques.":[199],"The":[200],"experimental":[201,211],"results":[202],"illustrate":[203],"outperforms":[206],"other":[207],"methods":[208],"circumstances,":[212],"has":[214],"advantages":[216],"dealing":[218],"data":[221],"problems.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}