{"id":"https://openalex.org/W3080741764","doi":"https://doi.org/10.1007/s10489-020-01848-4","title":"Preference relation based collaborative filtering with graph aggregation for group recommender system","display_name":"Preference relation based collaborative filtering with graph aggregation for group recommender system","publication_year":2020,"publication_date":"2020-08-25","ids":{"openalex":"https://openalex.org/W3080741764","doi":"https://doi.org/10.1007/s10489-020-01848-4","mag":"3080741764"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01848-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01848-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5006820981","display_name":"Abinash Pujahari","orcid":"https://orcid.org/0000-0002-5393-3782"},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abinash Pujahari","raw_affiliation_strings":["Department of Computer Science, Engineering, National Institute of Technology Raipur, GE Road, Raipur, Chhattisgarh, 492010, India"],"raw_orcid":"https://orcid.org/0000-0002-5393-3782","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Engineering, National Institute of Technology Raipur, GE Road, Raipur, Chhattisgarh, 492010, India","institution_ids":["https://openalex.org/I38335241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013636671","display_name":"Dilip Singh Sisodia","orcid":"https://orcid.org/0000-0001-9845-290X"},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dilip Singh Sisodia","raw_affiliation_strings":["Department of Computer Science, Engineering, National Institute of Technology Raipur, GE Road, Raipur, Chhattisgarh, 492010, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Engineering, National Institute of Technology Raipur, GE Road, Raipur, Chhattisgarh, 492010, India","institution_ids":["https://openalex.org/I38335241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006820981"],"corresponding_institution_ids":["https://openalex.org/I38335241"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.6209,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.941178,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"51","issue":"2","first_page":"658","last_page":"672"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.9091439247131348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8376845717430115},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8316425085067749},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7296919226646423},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6038339734077454},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5703836679458618},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5314475893974304},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5143047571182251},{"id":"https://openalex.org/keywords/preference-relation","display_name":"Preference relation","score":0.4812721610069275},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.47180595993995667},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.46493762731552124},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4567699134349823},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45597657561302185},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.421542763710022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33846011757850647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26863330602645874},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2267349660396576},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09426367282867432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08169487118721008}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.9091439247131348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8376845717430115},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8316425085067749},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7296919226646423},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6038339734077454},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5703836679458618},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5314475893974304},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5143047571182251},{"id":"https://openalex.org/C2777062324","wikidata":"https://www.wikidata.org/wiki/Q25036211","display_name":"Preference relation","level":3,"score":0.4812721610069275},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.47180595993995667},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.46493762731552124},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4567699134349823},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45597657561302185},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.421542763710022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33846011757850647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26863330602645874},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2267349660396576},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09426367282867432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08169487118721008},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01848-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01848-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.699999988079071,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W5648182","https://openalex.org/W1486562431","https://openalex.org/W1530276735","https://openalex.org/W1565746575","https://openalex.org/W1775980849","https://openalex.org/W1902027874","https://openalex.org/W1966261380","https://openalex.org/W1976228243","https://openalex.org/W1980193429","https://openalex.org/W1998692453","https://openalex.org/W2004416365","https://openalex.org/W2016944307","https://openalex.org/W2019878817","https://openalex.org/W2025605741","https://openalex.org/W2038661547","https://openalex.org/W2048039201","https://openalex.org/W2054141820","https://openalex.org/W2061554433","https://openalex.org/W2065296176","https://openalex.org/W2069870183","https://openalex.org/W2091825929","https://openalex.org/W2109777927","https://openalex.org/W2113640060","https://openalex.org/W2116206254","https://openalex.org/W2119523409","https://openalex.org/W2172118809","https://openalex.org/W2206707519","https://openalex.org/W2217766582","https://openalex.org/W2219770171","https://openalex.org/W2219888463","https://openalex.org/W2278138779","https://openalex.org/W2299883980","https://openalex.org/W2341865734","https://openalex.org/W2398365891","https://openalex.org/W2519400179","https://openalex.org/W2551968180","https://openalex.org/W2605506660","https://openalex.org/W2611686278","https://openalex.org/W2792121711","https://openalex.org/W2887262017","https://openalex.org/W2903298584","https://openalex.org/W2914619191","https://openalex.org/W2923288043","https://openalex.org/W2941921672","https://openalex.org/W2946807364","https://openalex.org/W3037230599","https://openalex.org/W4253760012"],"related_works":["https://openalex.org/W2797500822","https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W2986679525","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2537367858","https://openalex.org/W2981634480","https://openalex.org/W4288082747","https://openalex.org/W3173811578"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}