{"id":"https://openalex.org/W1990386177","doi":"https://doi.org/10.1109/icme.2014.6890218","title":"Community discovering guided cold-start recommendation: A discriminative approach","display_name":"Community discovering guided cold-start recommendation: A discriminative approach","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1990386177","doi":"https://doi.org/10.1109/icme.2014.6890218","mag":"1990386177"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100772459","display_name":"Shuang Qiu","orcid":"https://orcid.org/0000-0003-0785-5688"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Qiu","raw_affiliation_strings":["National Lab of Pattern Recognition, CASIA, Beijing, China","National Lab of Pattern Recognition, CASIA, Beijing, China, 100190"],"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China, 100190","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112149353","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0003-1289-2758"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["National Lab of Pattern Recognition, CASIA, Beijing, China","National Lab of Pattern Recognition, CASIA, Beijing, China, 100190"],"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China, 100190","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052913961","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-1105-9417"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["National Lab of Pattern Recognition, CASIA, Beijing, China","National Lab of Pattern Recognition, CASIA, Beijing, China, 100190"],"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China, 100190","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103462959","display_name":"Biao Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Niu","raw_affiliation_strings":["National Lab of Pattern Recognition, CASIA, Beijing, China","National Lab of Pattern Recognition, CASIA, Beijing, China, 100190"],"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China, 100190","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["National Lab of Pattern Recognition, CASIA, Beijing, China","National Lab of Pattern Recognition, CASIA, Beijing, China, 100190"],"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China, 100190","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100772459"],"corresponding_institution_ids":["https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":1.5778,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87309038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9919000267982483,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9887999892234802,"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/discriminative-model","display_name":"Discriminative model","score":0.8689583539962769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7868398427963257},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6609584093093872},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6332716345787048},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5509889125823975},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.5343358516693115},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5293657779693604},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5130988359451294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4843333959579468},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4798571467399597},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47515201568603516},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4744078814983368},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46244460344314575},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.4596751034259796},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.447521835565567},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.43297019600868225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41802534461021423},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3696461319923401},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36570730805397034},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09837311506271362}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8689583539962769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868398427963257},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6609584093093872},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6332716345787048},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5509889125823975},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.5343358516693115},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5293657779693604},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5130988359451294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4843333959579468},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4798571467399597},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47515201568603516},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4744078814983368},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46244460344314575},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.4596751034259796},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.447521835565567},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.43297019600868225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41802534461021423},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3696461319923401},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36570730805397034},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09837311506271362},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2014.6890218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W18701524","https://openalex.org/W1994389483","https://openalex.org/W2013221919","https://openalex.org/W2029507558","https://openalex.org/W2065663334","https://openalex.org/W2090766292","https://openalex.org/W2102982709","https://openalex.org/W2114188922","https://openalex.org/W2117281325","https://openalex.org/W2132881168","https://openalex.org/W2132914434","https://openalex.org/W2137245235","https://openalex.org/W2168103112","https://openalex.org/W2407812036","https://openalex.org/W6680451568"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2358418295","https://openalex.org/W2497939785","https://openalex.org/W4376854386","https://openalex.org/W2735929803"],"abstract_inverted_index":{"Recommendation":[0],"for":[1,32,64,100,146],"new":[2,34,42],"users":[3,35,43],"is":[4,18,77],"a":[5,55,125],"key":[6],"challenge":[7],"due":[8],"to":[9],"the":[10,19,70,115,138],"lack":[11],"of":[12,105],"prior":[13],"information":[14,75],"from":[15],"them,":[16],"which":[17,76],"well-known":[20],"cold-start":[21,147],"problem.":[22],"Preference":[23],"elicitation":[24,144],"has":[25],"been":[26],"proposed":[27,139],"as":[28,72,124],"an":[29,38,73],"efficient":[30],"strategy":[31],"eliciting":[33],"preference":[36,101,143],"through":[37],"initial":[39],"interview":[40],"where":[41],"are":[44],"queried":[45],"by":[46],"elaborately":[47],"selected":[48],"items.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"novel":[56],"community":[57,71,89,107,112],"discovering":[58,108,113],"guided":[59],"discriminative":[60,98],"selection":[61,87],"(CDDS)":[62],"model":[63,95,116],"constructing":[65],"query":[66],"set.":[67],"We":[68],"exploit":[69],"effective":[74],"not":[78],"fully":[79],"used":[80],"in":[81],"existing":[82],"approaches.":[83],"By":[84],"integrating":[85],"item":[86],"and":[88,121,134],"discovery":[90],"into":[91],"one":[92],"framework,":[93],"our":[94],"selects":[96],"most":[97],"items":[99],"elicitation,":[102],"with":[103],"guidance":[104],"unsupervised":[106],"process.":[109],"To":[110],"perform":[111],"process,":[114],"utilizes":[117],"rating":[118],"similarity":[119],"graph":[120,126],"social":[122],"network":[123],"regular-ization.":[127],"Experimental":[128],"results":[129],"on":[130],"real-world":[131],"datasets":[132],"Flixster":[133],"Douban":[135],"demonstrate":[136],"that":[137],"method":[140],"outperforms":[141],"traditional":[142],"methods":[145],"recommendation.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}