{"id":"https://openalex.org/W2753946131","doi":"https://doi.org/10.1109/bigdatacongress.2017.71","title":"Personalized Recommendation Algorithm Based on LFM with QoS Constraint","display_name":"Personalized Recommendation Algorithm Based on LFM with QoS Constraint","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2753946131","doi":"https://doi.org/10.1109/bigdatacongress.2017.71","mag":"2753946131"},"language":"en","primary_location":{"id":"doi:10.1109/bigdatacongress.2017.71","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdatacongress.2017.71","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Congress on Big Data (BigData Congress)","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/A5053326584","display_name":"Ying Jin","orcid":"https://orcid.org/0000-0002-0126-8223"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Jin","raw_affiliation_strings":["Department of Management of Hefei University, Hefei Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management of Hefei University, Hefei Anhui, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430650","display_name":"Yiwen Zhang","orcid":"https://orcid.org/0000-0001-8709-1088"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-wen Zhang","raw_affiliation_strings":["Ministry of Education, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"488","last_page":"493"},"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":0.9896000027656555,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8127748966217041},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.7513232231140137},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.6432415246963501},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6210836172103882},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5813666582107544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5589766502380371},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5401491522789001},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.534301221370697},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45043185353279114},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4429515600204468},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.42752042412757874},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4227939248085022},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4211837649345398},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4201999306678772},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.41509103775024414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30027467012405396},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24234619736671448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23274976015090942},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14884909987449646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08251485228538513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127748966217041},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.7513232231140137},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6432415246963501},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6210836172103882},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5813666582107544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5589766502380371},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5401491522789001},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.534301221370697},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45043185353279114},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4429515600204468},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.42752042412757874},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4227939248085022},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4211837649345398},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4201999306678772},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.41509103775024414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30027467012405396},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24234619736671448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23274976015090942},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14884909987449646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08251485228538513},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdatacongress.2017.71","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdatacongress.2017.71","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Congress on Big Data (BigData Congress)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1980621197","https://openalex.org/W1981520019","https://openalex.org/W2003687960","https://openalex.org/W2025605741","https://openalex.org/W2033116442","https://openalex.org/W2038228855","https://openalex.org/W2041361001","https://openalex.org/W2042281163","https://openalex.org/W2091825929","https://openalex.org/W2134584261","https://openalex.org/W2144088685","https://openalex.org/W2146967383","https://openalex.org/W2152311353","https://openalex.org/W2156227868","https://openalex.org/W2186985898","https://openalex.org/W2336159048","https://openalex.org/W2343221896","https://openalex.org/W2523041982","https://openalex.org/W3101637956","https://openalex.org/W4245605774"],"related_works":["https://openalex.org/W4251329182","https://openalex.org/W1599110641","https://openalex.org/W1549403601","https://openalex.org/W2497510784","https://openalex.org/W4252183363","https://openalex.org/W2787177576","https://openalex.org/W2078352417","https://openalex.org/W2418053903","https://openalex.org/W2098758514","https://openalex.org/W1575740715"],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,11,56,76,87],"Internet":[4],"technology":[5],"has":[6],"ushered":[7],"in":[8],"the":[9,54,68,79,88],"era":[10],"information":[12,18,38],"overload.":[13],"How":[14],"to":[15,30,36],"pick":[16],"out":[17],"with":[19,53,67],"excellent":[20],"quality":[21,55],"and":[22,84],"reduce":[23],"unnecessary":[24],"browsing":[25],"time":[26],"is":[27,74],"a":[28,48],"problem":[29],"be":[31,42],"solved":[32],"urgently.":[33],"In":[34],"order":[35],"recommend":[37],"that":[39],"users":[40],"might":[41],"interested":[43],"in,":[44],"this":[45,72],"paper":[46],"presents":[47],"new":[49],"personalized":[50,89],"recommendation":[51,70,90],"algorithm":[52,73],"service":[57],"(QoS)":[58],"constraints":[59],"based":[60],"on":[61],"latent":[62],"factor":[63],"model":[64],"(LFM).":[65],"Compared":[66],"traditional":[69],"algorithms,":[71],"capable":[75],"effectively":[77],"improving":[78],"recall":[80],"rate,":[81],"accuracy":[82],"rate":[83,86],"coverage":[85],"system.":[91]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}