{"id":"https://openalex.org/W3002139485","doi":"https://doi.org/10.1109/besc48373.2019.8963018","title":"Actively Semi-Supervised Collaborative Filtering","display_name":"Actively Semi-Supervised Collaborative Filtering","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002139485","doi":"https://doi.org/10.1109/besc48373.2019.8963018","mag":"3002139485"},"language":"en","primary_location":{"id":"doi:10.1109/besc48373.2019.8963018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","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/A5024216926","display_name":"Wei Cui","orcid":"https://orcid.org/0000-0001-7686-1059"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Cui","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University,Beijing,China,100044","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702644","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0001-5733-3621"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University,Beijing,China,100044","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024216926"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.3392,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71884654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"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":1.0,"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":1.0,"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/T11309","display_name":"Music and Audio Processing","score":0.9882000088691711,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9652000069618225,"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/exploit","display_name":"Exploit","score":0.8680651187896729},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8490543365478516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8188264966011047},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7510614395141602},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6719210147857666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6009048819541931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5790857076644897},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5259706377983093},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.523574948310852},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5015125274658203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3953844904899597}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8680651187896729},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8490543365478516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188264966011047},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7510614395141602},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6719210147857666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6009048819541931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5790857076644897},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5259706377983093},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.523574948310852},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5015125274658203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3953844904899597},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc48373.2019.8963018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W57680428","https://openalex.org/W127470081","https://openalex.org/W1824737917","https://openalex.org/W2008886893","https://openalex.org/W2019288156","https://openalex.org/W2020592584","https://openalex.org/W2026010978","https://openalex.org/W2042281163","https://openalex.org/W2044618102","https://openalex.org/W2045882407","https://openalex.org/W2048679005","https://openalex.org/W2054141820","https://openalex.org/W2061212083","https://openalex.org/W2100235918","https://openalex.org/W2135598826","https://openalex.org/W2136504847","https://openalex.org/W2144487656","https://openalex.org/W2155106456","https://openalex.org/W2171960770","https://openalex.org/W2244405900","https://openalex.org/W2515144511","https://openalex.org/W2903158431","https://openalex.org/W2963655167","https://openalex.org/W3101366597","https://openalex.org/W4205334834","https://openalex.org/W6602375370","https://openalex.org/W6680140577","https://openalex.org/W6690737137","https://openalex.org/W6693601121","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"(CF)":[2],"has":[3],"been":[4],"widely":[5],"used":[6],"in":[7,49,82],"various":[8],"recommender":[9],"systems,":[10],"but":[11],"often":[12],"suffers":[13],"from":[14],"the":[15,23,38,75,79,84,96,103,106,112,118],"problem":[16],"of":[17,40,61,72,105,108],"data":[18,77,129],"sparsity":[19],"which":[20,43,73],"dramatically":[21],"degrades":[22],"recommendation":[24],"performance.":[25],"In":[26,58],"this":[27],"paper,":[28],"we":[29],"propose":[30],"a":[31,45],"co-training":[32,62],"style":[33],"semi-supervised":[34],"CF":[35,132],"approach":[36,65,124],"towards":[37],"task":[39],"rating":[41],"prediction,":[42],"exploits":[44],"few":[46],"observed":[47,113],"ratings":[48],"conjunction":[50],"with":[51],"copious":[52],"unobserved":[53,76,87,109,128],"ones":[54],"to":[55,130],"reduce":[56],"sparsity.":[57],"each":[59,71],"round":[60],"iterations,":[63],"our":[64,123],"utilizes":[66],"two":[67],"different":[68],"neighborhood-based":[69],"recommenders,":[70],"labels":[74],"for":[78,92],"other":[80,139],"recommender;":[81],"particular,":[83],"most":[85],"informative":[86],"examples":[88,110],"are":[89],"actively":[90],"selected":[91],"labeling,":[93],"and":[94,134],"then":[95],"labeling":[97,107],"confidence":[98],"is":[99],"estimated":[100],"through":[101],"validating":[102],"influence":[104],"on":[111,117],"ones.":[114],"Experiments":[115],"results":[116],"three":[119],"datasets":[120],"demonstrate":[121],"that":[122],"can":[125],"effectively":[126],"exploit":[127],"improve":[131],"predictions,":[133],"achieves":[135],"better":[136],"performance":[137],"than":[138],"counterparts.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}