{"id":"https://openalex.org/W3160687947","doi":"https://doi.org/10.1145/3448734.3450933","title":"Research on News Recommendation Algorithm Based on User Interest and Timeliness Modeling","display_name":"Research on News Recommendation Algorithm Based on User Interest and Timeliness Modeling","publication_year":2021,"publication_date":"2021-01-28","ids":{"openalex":"https://openalex.org/W3160687947","doi":"https://doi.org/10.1145/3448734.3450933","mag":"3160687947"},"language":"en","primary_location":{"id":"doi:10.1145/3448734.3450933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448734.3450933","pdf_url":null,"source":{"id":"https://openalex.org/S4306531993","display_name":"The 2nd International Conference on Computing and Data Science","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2nd International Conference on Computing and Data Science","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/A5044882033","display_name":"Zhongtai Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongtai Qin","raw_affiliation_strings":["Guangzhou University"],"affiliations":[{"raw_affiliation_string":"Guangzhou University","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108229342","display_name":"Mingjun Zhang","orcid":"https://orcid.org/0000-0002-5529-1349"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjun Zhang","raw_affiliation_strings":["Guangzhou University"],"affiliations":[{"raw_affiliation_string":"Guangzhou University","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044882033"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":1.1345,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76409579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9664999842643738,"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":0.8161295056343079},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.8088902831077576},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5946482419967651},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5905082821846008},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5378811359405518},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4976241886615753},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.47191861271858215},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45705553889274597},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.4527835547924042},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.4361013174057007},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.406647264957428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33058834075927734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2720717787742615},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.25640738010406494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25194433331489563},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24255117774009705},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.14756500720977783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161295056343079},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.8088902831077576},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5946482419967651},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5905082821846008},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5378811359405518},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4976241886615753},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.47191861271858215},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45705553889274597},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.4527835547924042},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.4361013174057007},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.406647264957428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33058834075927734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2720717787742615},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.25640738010406494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25194433331489563},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24255117774009705},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.14756500720977783},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448734.3450933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448734.3450933","pdf_url":null,"source":{"id":"https://openalex.org/S4306531993","display_name":"The 2nd International Conference on Computing and Data Science","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2nd International Conference on Computing and Data Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2021898883","https://openalex.org/W2028593080","https://openalex.org/W2083973186","https://openalex.org/W2110443819","https://openalex.org/W2151451758","https://openalex.org/W2170709423","https://openalex.org/W2222392151","https://openalex.org/W2589708577","https://openalex.org/W2787933113","https://openalex.org/W2979558831","https://openalex.org/W3001654774","https://openalex.org/W3101117497","https://openalex.org/W6600567258"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W3127229356","https://openalex.org/W2000801317","https://openalex.org/W2294604808","https://openalex.org/W2749089722","https://openalex.org/W2702570413"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"personalized":[2,119],"news":[3,6,31,48,114,125,139],"recommendation,":[4],"a":[5,34],"recommendation":[7,126,140,152],"model":[8,37,72,87,127],"based":[9,38,128],"on":[10,39,129],"user":[11,28,35,44,130],"interest":[12,36,41,71,86,96,111,131],"and":[13,30,33,47,65,113,117,132,146,149],"timeliness":[14,133],"is":[15,21,51,58,88,103,134],"proposed.":[16],"Firstly,":[17],"tF-IDF":[18],"text":[19,49,115],"classification":[20],"applied":[22],"to":[23,60,90,105,136],"analyze":[24,106],"the":[25,40,54,62,69,79,84,92,99,107,124,137],"characteristics":[26,46,50],"of":[27,43,83,94,144],"behavior":[29,45],"text,":[32],"degree":[42],"constructed.":[52],"Then,":[53],"ebbinghaus":[55],"forgetting":[56],"curve":[57],"used":[59,104],"construct":[61],"time-based":[63],"function":[64],"integrate":[66],"it":[67],"into":[68],"user's":[70,85,95],"for":[73],"time":[74],"weighting.":[75],"On":[76],"this":[77],"basis,":[78],"adaptive":[80],"updating":[81],"strategy":[82],"designed":[89],"solve":[91],"problem":[93],"variability.":[97],"Finally,":[98],"weighted":[100],"Jaccard":[101],"similarity":[102,108],"between":[109],"users'":[110],"preferences":[112],"features":[116],"generate":[118],"recommendations.":[120],"Experiments":[121],"show":[122],"that":[123],"superior":[135],"traditional":[138],"algorithm":[141],"in":[142],"terms":[143],"accuracy":[145],"recall":[147],"rate,":[148],"has":[150],"higher":[151],"performance.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}