{"id":"https://openalex.org/W4210889157","doi":"https://doi.org/10.1142/s0219265921410267","title":"Content-Based Collaborative Filtering with Hierarchical Agglomerative Clustering Using User/ Item based Ratings","display_name":"Content-Based Collaborative Filtering with Hierarchical Agglomerative Clustering Using User/ Item based Ratings","publication_year":2022,"publication_date":"2022-02-04","ids":{"openalex":"https://openalex.org/W4210889157","doi":"https://doi.org/10.1142/s0219265921410267"},"language":"en","primary_location":{"id":"doi:10.1142/s0219265921410267","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265921410267","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Interconnection Networks","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/A5021660425","display_name":"Chakka S. V. V. S. N. Murty","orcid":"https://orcid.org/0000-0001-6637-4660"},"institutions":[{"id":"https://openalex.org/I142809039","display_name":"Jawaharlal Nehru Technological University, Kakinada","ror":"https://ror.org/05s9t8c95","country_code":"IN","type":"education","lineage":["https://openalex.org/I142809039"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Chakka S. V. V. S. N. Murty","raw_affiliation_strings":["JNTU Kakinada, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"JNTU Kakinada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I142809039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014600568","display_name":"G. P. Saradhi Varma","orcid":"https://orcid.org/0000-0002-4885-1678"},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. P. Saradhi Varma","raw_affiliation_strings":["K. L. University, Vijayawada, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"K. L. University, Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102869059","display_name":"Ch. Satyanarayana","orcid":null},"institutions":[{"id":"https://openalex.org/I142809039","display_name":"Jawaharlal Nehru Technological University, Kakinada","ror":"https://ror.org/05s9t8c95","country_code":"IN","type":"education","lineage":["https://openalex.org/I142809039"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ch. Satyanarayana","raw_affiliation_strings":["Department of CSE, JNTU Kakinada, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, JNTU Kakinada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I142809039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021660425"],"corresponding_institution_ids":["https://openalex.org/I142809039"],"apc_list":null,"apc_paid":null,"fwci":2.122,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89244747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"Supp01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9898999929428101,"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/T12384","display_name":"Customer churn and segmentation","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8529781103134155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8027226328849792},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.749566376209259},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6560994386672974},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6266018152236938},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5680669546127319},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5571931600570679},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5349377989768982},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5284649729728699},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.49012503027915955},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4597942531108856},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.410396933555603},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.403728723526001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255879878997803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3017483353614807},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20561927556991577},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11693885922431946},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.07880857586860657}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8529781103134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027226328849792},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.749566376209259},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6560994386672974},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6266018152236938},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5680669546127319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5571931600570679},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5349377989768982},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5284649729728699},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.49012503027915955},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4597942531108856},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.410396933555603},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.403728723526001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255879878997803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3017483353614807},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20561927556991577},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11693885922431946},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.07880857586860657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219265921410267","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265921410267","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Interconnection Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2244654942","https://openalex.org/W2584813144","https://openalex.org/W2596285588","https://openalex.org/W2604772719","https://openalex.org/W2617858769","https://openalex.org/W2729911081","https://openalex.org/W2743114144","https://openalex.org/W2769443623","https://openalex.org/W2770848963","https://openalex.org/W2799579227","https://openalex.org/W2816167487","https://openalex.org/W2892144397","https://openalex.org/W2901054819","https://openalex.org/W2921369641","https://openalex.org/W2923583643","https://openalex.org/W2963962436","https://openalex.org/W2974198325","https://openalex.org/W2990714382","https://openalex.org/W2999851651","https://openalex.org/W3003688992","https://openalex.org/W3008288562","https://openalex.org/W3014683405","https://openalex.org/W3015045735","https://openalex.org/W3042799967","https://openalex.org/W3093155596","https://openalex.org/W3093506265","https://openalex.org/W3110043392","https://openalex.org/W3122437249"],"related_works":["https://openalex.org/W2016738550","https://openalex.org/W2348159088","https://openalex.org/W1773619406","https://openalex.org/W1539956017","https://openalex.org/W4231410851","https://openalex.org/W3004834589","https://openalex.org/W2893089803","https://openalex.org/W2164349438","https://openalex.org/W2904936693","https://openalex.org/W3046752569"],"abstract_inverted_index":{"The":[0,17,39,101,169],"recommender":[1],"system":[2],"(RS)":[3],"plays":[4],"the":[5,23,29,32,50,54,57,63,109,139,161,173,189],"major":[6],"role":[7],"in":[8,53,80],"online":[9,11,14],"networks,":[10],"shopping,":[12],"and":[13,70,77,117,156,184],"services":[15],"etc.":[16],"conventional":[18,190],"RSs":[19],"are":[20,124,158],"suffering":[21,61,71],"with":[22,62,72,115,179],"inaccurate":[24],"quality":[25],"of":[26,151,176],"experience":[27],"to":[28,37,48,84,181,188],"users,":[30],"so":[31],"improper":[33],"content":[34,40],"is":[35,46,60,143],"recommending":[36],"customers.":[38],"based":[41,95,104],"collaborative":[42,96],"filtering":[43,97],"(CBCF)":[44],"method":[45,59,178],"introduced":[47],"solve":[49,85],"issues":[51],"presented":[52],"RSs.":[55,100],"However,":[56],"CBCF":[58],"cold":[64],"start":[65],"problem":[66],"for":[67,99],"new":[68],"users":[69,123],"data":[73,75,79],"accuracy,":[74],"sparsity,":[76],"scalable":[78],"clustering":[81,93],"process.":[82],"Thus,":[83],"these":[86],"problems,":[87],"this":[88,121],"article":[89],"proposes":[90],"hierarchical":[91],"agglomerative":[92],"(HAC)":[94],"(HAC-CF)":[98],"proposed":[102,177],"HAC-CF":[103],"RS":[105],"functions":[106],"by":[107,164],"utilizing":[108],"incentivized/":[110],"penalized":[111],"user":[112,163],"(IPU)":[113],"model":[114],"user-based":[116],"item-based":[118],"ratings.":[119],"To":[120],"end,":[122],"divided":[125],"into":[126],"several":[127],"clusters":[128],"through":[129,134],"single":[130],"link":[131],"graph":[132],"partitioning":[133],"minimum":[135],"distance":[136],"criteria.":[137],"Then,":[138],"final":[140],"item":[141,167],"ranking":[142],"computed":[144],"using":[145],"Pearson":[146],"correlation":[147],"coefficient":[148],"(PCC)":[149],"similarity":[150],"users.":[152],"Hence,":[153],"recommendation":[154],"efficiency":[155],"accuracy":[157],"increased":[159],"at":[160],"end":[162],"combining":[165],"user,":[166],"models.":[168],"simulation":[170],"results":[171],"show":[172],"performance":[174],"enhancement":[175],"respect":[180],"F1-score,":[182],"recall,":[183],"precision":[185],"as":[186],"compared":[187],"approaches.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}