{"id":"https://openalex.org/W3030147423","doi":"https://doi.org/10.1145/3383972.3383997","title":"An Improved Collaborative Filtering Recommendation Algorithm Based on Fusion Time Factor","display_name":"An Improved Collaborative Filtering Recommendation Algorithm Based on Fusion Time Factor","publication_year":2020,"publication_date":"2020-02-15","ids":{"openalex":"https://openalex.org/W3030147423","doi":"https://doi.org/10.1145/3383972.3383997","mag":"3030147423"},"language":"en","primary_location":{"id":"doi:10.1145/3383972.3383997","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3383997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","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/A5049263522","display_name":"Fengyu Yang","orcid":"https://orcid.org/0000-0003-4770-3857"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyu Yang","raw_affiliation_strings":["School of Software, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049720499","display_name":"Taoping Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taoping Chen","raw_affiliation_strings":["School of Software, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046131581","display_name":"Shijian Zhou","orcid":"https://orcid.org/0000-0003-1422-3814"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijian Zhou","raw_affiliation_strings":["School of Software, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003221471","display_name":"Tao Feng","orcid":"https://orcid.org/0000-0002-4443-157X"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Feng","raw_affiliation_strings":["School of Software, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041958716","display_name":"Wei Nie","orcid":"https://orcid.org/0000-0003-1351-2411"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Nie","raw_affiliation_strings":["School of Software, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I927504317"],"apc_list":null,"apc_paid":null,"fwci":0.2272,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43405401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2010","issue":null,"first_page":"177","last_page":"181"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9180999994277954,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9096999764442444,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.9494996070861816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8099755048751831},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7601155042648315},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7545539736747742},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5835292339324951},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5762299299240112},{"id":"https://openalex.org/keywords/information-filtering-system","display_name":"Information filtering system","score":0.5521419048309326},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.48340049386024475},{"id":"https://openalex.org/keywords/collaborative-software","display_name":"Collaborative software","score":0.4307875335216522},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42010697722435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4055059850215912},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3205649256706238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.266183078289032},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13664540648460388}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.9494996070861816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099755048751831},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7601155042648315},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7545539736747742},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5835292339324951},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5762299299240112},{"id":"https://openalex.org/C178674793","wikidata":"https://www.wikidata.org/wiki/Q6031077","display_name":"Information filtering system","level":2,"score":0.5521419048309326},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.48340049386024475},{"id":"https://openalex.org/C554579003","wikidata":"https://www.wikidata.org/wiki/Q474157","display_name":"Collaborative software","level":2,"score":0.4307875335216522},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42010697722435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4055059850215912},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3205649256706238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.266183078289032},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13664540648460388},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383972.3383997","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3383997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W1690919088","https://openalex.org/W2042281163","https://openalex.org/W2885090421","https://openalex.org/W2887671842","https://openalex.org/W2936420738"],"related_works":["https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2098758514"],"abstract_inverted_index":{"Traditional":[0],"collaborative":[1,61,80,86,118,131],"filtering":[2,62,81,87,119,132],"recommendation":[3,32,36,42,111,136],"algorithms":[4,63],"only":[5],"focus":[6],"on":[7,84,108],"the":[8,19,26,31,35,41,52,66,91,103,109,116,129,139,145,148],"user's":[9,53,67,92],"historical":[10,93],"behavior":[11,24,94,100],"information,":[12],"using":[13],"similarity":[14],"measurement":[15],"method":[16],"to":[17,25],"obtain":[18],"user":[20,28,99,110],"group":[21],"with":[22,57,121],"similar":[23],"target":[27],"and":[29,40,47,59,97,134],"producing":[30],"result.":[33],"However,":[34],"accuracy":[37,127],"is":[38,44],"low":[39],"result":[43],"relatively":[45],"simple":[46],"lacks":[48],"novelty.":[49],"In":[50],"practice,":[51],"interest":[54,68],"changes":[55,69],"dynamically":[56],"time,":[58],"traditional":[60,85,130],"cannot":[64],"reflect":[65],"in":[70],"time.":[71],"For":[72],"this":[73,75],"problem,":[74],"paper":[76],"proposes":[77],"an":[78],"improved":[79,117],"algorithm":[82,120],"based":[83],"algorithm.":[88,149],"When":[89],"analyzing":[90],"data":[95],"information":[96],"establishing":[98],"characteristics,":[101],"consider":[102],"influence":[104],"of":[105,141,147],"time":[106,123],"factors":[107],"results.":[112],"Experiments":[113],"show":[114],"that":[115],"fusion":[122],"factor":[124],"has":[125],"higher":[126],"than":[128],"algorithm,":[133],"its":[135],"results":[137],"meet":[138],"needs":[140],"users,":[142],"which":[143],"proves":[144],"effectiveness":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
