{"id":"https://openalex.org/W2585499863","doi":"https://doi.org/10.1109/icinfa.2016.7832149","title":"A personalization recommendation method with time characteristics","display_name":"A personalization recommendation method with time characteristics","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2585499863","doi":"https://doi.org/10.1109/icinfa.2016.7832149","mag":"2585499863"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2016.7832149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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/A5042792034","display_name":"Keqing Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131997","display_name":"Dalian Neusoft University of Information","ror":"https://ror.org/0304ty515","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqing Guan","raw_affiliation_strings":["Business management department, Dalian Neusoft University of Information, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business management department, Dalian Neusoft University of Information, Dalian, China","institution_ids":["https://openalex.org/I4210131997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391587","display_name":"Yimin Zhang","orcid":"https://orcid.org/0000-0001-7673-8800"},"institutions":[{"id":"https://openalex.org/I4210131997","display_name":"Dalian Neusoft University of Information","ror":"https://ror.org/0304ty515","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Zhang","raw_affiliation_strings":["Business management department, Dalian Neusoft University of Information, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business management department, Dalian Neusoft University of Information, Dalian, China","institution_ids":["https://openalex.org/I4210131997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083640604","display_name":"Ping Song","orcid":"https://orcid.org/0000-0001-7939-1902"},"institutions":[{"id":"https://openalex.org/I4210131997","display_name":"Dalian Neusoft University of Information","ror":"https://ror.org/0304ty515","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Song","raw_affiliation_strings":["Business management department, Dalian Neusoft University of Information, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business management department, Dalian Neusoft University of Information, Dalian, China","institution_ids":["https://openalex.org/I4210131997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23949701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2012","last_page":"2015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11478","display_name":"Caching and Content Delivery","score":0.964900016784668,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8806517124176025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8592039346694946},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.8542160987854004},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7003651261329651},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.619313657283783},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5913125872612},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4980587959289551},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42978787422180176},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4085051119327545},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.3626471161842346},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3496173024177551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32718485593795776},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17515993118286133},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1463746726512909}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8806517124176025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8592039346694946},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.8542160987854004},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7003651261329651},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.619313657283783},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5913125872612},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4980587959289551},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42978787422180176},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4085051119327545},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3626471161842346},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3496173024177551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32718485593795776},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17515993118286133},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1463746726512909},{"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/icinfa.2016.7832149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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":9,"referenced_works":["https://openalex.org/W21207210","https://openalex.org/W2032611833","https://openalex.org/W2046216022","https://openalex.org/W2057763140","https://openalex.org/W2110325612","https://openalex.org/W2155106456","https://openalex.org/W2159094788","https://openalex.org/W2295739661","https://openalex.org/W2387072493"],"related_works":["https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W2986679525","https://openalex.org/W2797500822","https://openalex.org/W2794458286","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W2981634480","https://openalex.org/W2059480190"],"abstract_inverted_index":{"Personalization":[0],"recommendation":[1,23,43],"can":[2],"effectively":[3],"solve":[4],"the":[5,14,20,29,46,65,70,75,82,89,104],"negative":[6],"influence":[7],"of":[8,16,32,41,48,54,77,84,91,99,107],"information":[9],"overload":[10],"to":[11,63],"users":[12],"in":[13,27,102],"environment":[15],"Big":[17],"Data.":[18],"And":[19],"existing":[21,112],"personalization":[22,42],"model":[24,40,62,72,86,101],"is":[25],"insufficient":[26],"integrating":[28],"time":[30],"characteristics":[31,53],"users'":[33,55,108],"behavior.":[34],"We":[35],"build":[36],"a":[37],"new":[38,61,71,85,100],"extend":[39],"based":[44,73],"on":[45,74],"method":[47,76],"latent":[49],"factor":[50],"model.":[51,113],"Time":[52],"historical":[56],"behavior":[57],"are":[58],"introduced":[59],"into":[60],"improve":[64],"predictions'":[66,105],"accuracy.":[67],"we":[68],"implement":[69],"factorization":[78],"machines,":[79],"and":[80],"verify":[81],"validity":[83],"by":[87],"using":[88],"data":[90],"movielens":[92],"dataset.":[93],"Experimental":[94],"results":[95],"demonstrate":[96],"better":[97],"performance":[98],"improving":[103],"accuracy":[106],"preferences":[109],"compared":[110],"with":[111]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}