{"id":"https://openalex.org/W3146387073","doi":"https://doi.org/10.1109/asonam49781.2020.9381314","title":"Neighbourhood Aging Factors for Limited Information Social Network Collaborative Filtering","display_name":"Neighbourhood Aging Factors for Limited Information Social Network Collaborative Filtering","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3146387073","doi":"https://doi.org/10.1109/asonam49781.2020.9381314","mag":"3146387073"},"language":"en","primary_location":{"id":"doi:10.1109/asonam49781.2020.9381314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5070417213","display_name":"Dionisis Margaris","orcid":"https://orcid.org/0000-0002-7487-374X"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Dionisis Margaris","raw_affiliation_strings":["University of Athens,Department of Informatics and Telecommunications,Athens,Greece"],"affiliations":[{"raw_affiliation_string":"University of Athens,Department of Informatics and Telecommunications,Athens,Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034227751","display_name":"Dimitris Spiliotopoulos","orcid":"https://orcid.org/0000-0003-3646-1362"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Spiliotopoulos","raw_affiliation_strings":["University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece"],"affiliations":[{"raw_affiliation_string":"University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece","institution_ids":["https://openalex.org/I158716096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089364392","display_name":"Costas Vassilakis","orcid":"https://orcid.org/0000-0001-9940-1821"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Costas Vassilakis","raw_affiliation_strings":["University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece"],"affiliations":[{"raw_affiliation_string":"University of the Peloponnese,Department of Informatics and Telecommunications,Tripoli,Greece","institution_ids":["https://openalex.org/I158716096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070417213"],"corresponding_institution_ids":["https://openalex.org/I200777214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2201364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"877","last_page":"883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"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":0.9962000250816345,"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/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.8353133201599121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315086483955383},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.44515615701675415},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3789651095867157},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34876275062561035},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18054857850074768},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.1400718092918396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09298446774482727}],"concepts":[{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.8353133201599121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315086483955383},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.44515615701675415},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3789651095867157},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34876275062561035},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18054857850074768},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.1400718092918396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09298446774482727},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam49781.2020.9381314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":66,"referenced_works":["https://openalex.org/W38774257","https://openalex.org/W1485526961","https://openalex.org/W1511814458","https://openalex.org/W1553870384","https://openalex.org/W1855246647","https://openalex.org/W1967788125","https://openalex.org/W1971040550","https://openalex.org/W1976320242","https://openalex.org/W1978717800","https://openalex.org/W2000308636","https://openalex.org/W2000454347","https://openalex.org/W2037049998","https://openalex.org/W2068399434","https://openalex.org/W2070263508","https://openalex.org/W2073859581","https://openalex.org/W2099419573","https://openalex.org/W2108031208","https://openalex.org/W2124142520","https://openalex.org/W2126539515","https://openalex.org/W2139327121","https://openalex.org/W2139555631","https://openalex.org/W2145360759","https://openalex.org/W2148292526","https://openalex.org/W2155959613","https://openalex.org/W2160512933","https://openalex.org/W2221868786","https://openalex.org/W2264720066","https://openalex.org/W2296141338","https://openalex.org/W2329222431","https://openalex.org/W2408821365","https://openalex.org/W2474583565","https://openalex.org/W2525439967","https://openalex.org/W2551459384","https://openalex.org/W2588413534","https://openalex.org/W2594645728","https://openalex.org/W2596556435","https://openalex.org/W2605606249","https://openalex.org/W2664213871","https://openalex.org/W2678138140","https://openalex.org/W2729974188","https://openalex.org/W2735901428","https://openalex.org/W2750170045","https://openalex.org/W2753177671","https://openalex.org/W2776075991","https://openalex.org/W2890552332","https://openalex.org/W2897686196","https://openalex.org/W2898951987","https://openalex.org/W2962856859","https://openalex.org/W2969886764","https://openalex.org/W2986198730","https://openalex.org/W2986423110","https://openalex.org/W2986553571","https://openalex.org/W2995416740","https://openalex.org/W2998920261","https://openalex.org/W3012246356","https://openalex.org/W3033901153","https://openalex.org/W3042722680","https://openalex.org/W3078477381","https://openalex.org/W3088789826","https://openalex.org/W3122725723","https://openalex.org/W4239039111","https://openalex.org/W4244707235","https://openalex.org/W4298013486","https://openalex.org/W6601575519","https://openalex.org/W6697343187","https://openalex.org/W6782889765"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4393363920","https://openalex.org/W4248744973","https://openalex.org/W4383700488","https://openalex.org/W4287780535","https://openalex.org/W3037015124","https://openalex.org/W3021699323","https://openalex.org/W1969064169","https://openalex.org/W2390279801"],"abstract_inverted_index":{"Businesses":[0],"benefit":[1],"by":[2],"recommender":[3,33,137,196],"systems":[4,40],"since":[5],"the":[6,20,27,71,76,83,87,97,114,163,172,175],"latter":[7],"analyse":[8],"reviews":[9],"and":[10,14,31,132],"ratings":[11],"of":[12,19,23,26,81,100,117,165,168,174],"products":[13],"services,":[15],"providing":[16],"useful":[17],"insight":[18],"buyer":[21],"perception":[22],"them.":[24],"One":[25],"most":[28],"popular,":[29],"successful":[30],"easy-to-build":[32],"system":[34,95,138],"techniques":[35],"is":[36,79],"collaborative":[37,93,156,194],"filtering.":[38],"Recommender":[39],"take":[41],"into":[42],"account":[43],"social":[44,88,91,154,192],"network":[45,92,155,193],"information,":[46,64,73,101],"to":[47,61,68,104,111,139],"achieve":[48],"more":[49],"accurate":[50],"predictions.":[51],"Unfortunately,":[52],"however,":[53],"many":[54],"applications":[55],"do":[56],"not":[57],"have":[58,67],"full":[59],"access":[60],"such":[62],"\u201crich\u201d":[63],"so":[65],"they":[66],"properly":[69],"manage":[70],"limited":[72],"which,":[74],"in":[75,86,102,133,191],"worst":[77],"case,":[78],"comprised":[80],"just":[82],"user":[84],"relationships":[85],"network.":[89],"A":[90],"filtering":[94,157,195],"combines":[96],"two":[98],"sources":[99],"order":[103,134],"formulate":[105],"rating":[106,158,182],"predictions":[107],"which":[108],"will":[109],"lead":[110],"recommendations.":[112],"However,":[113],"vast":[115],"majority":[116],"users":[118],"change":[119],"their":[120],"tastes,":[121],"as":[122,129],"time":[123],"goes":[124],"by,":[125],"a":[126,136,153],"phenomenon":[127],"termed":[128],"concept":[130],"drift,":[131],"for":[135],"be":[140,188],"successful,":[141],"it":[142,186],"must":[143],"effectively":[144],"face":[145],"this":[146,149],"problem.":[147],"In":[148],"paper,":[150],"we":[151],"present":[152],"prediction":[159,183],"algorithm":[160,179],"that":[161],"tunes":[162],"weight-importance":[164],"each":[166],"source":[167],"information":[169],"based":[170],"on":[171],"age":[173],"information.":[176],"The":[177],"proposed":[178],"considerably":[180],"improves":[181],"accuracy,":[184],"while":[185],"can":[187],"easily":[189],"integrated":[190],"systems.":[197]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
