{"id":"https://openalex.org/W2585941607","doi":"https://doi.org/10.1109/bigdata.2016.7841073","title":"An integrated assessment approach to different collaborative filtering algorithms","display_name":"An integrated assessment approach to different collaborative filtering algorithms","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2585941607","doi":"https://doi.org/10.1109/bigdata.2016.7841073","mag":"2585941607"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7841073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841073","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 Big Data (Big Data)","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/A5050690474","display_name":"Raja Sarath Kumar Boddu","orcid":"https://orcid.org/0000-0002-2508-6715"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Raja Sarath Kumar Boddu","raw_affiliation_strings":["Computer Science Engineering Department, Lenora College of Engineering, Rampachodavaram, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Engineering Department, Lenora College of Engineering, Rampachodavaram, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050690474"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23813316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"3954","last_page":"3956"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9832000136375427,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.965399980545044,"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":0.7811314463615417},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7350934147834778},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7230469584465027},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.684685230255127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5393509864807129},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5338643193244934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48051580786705017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3882739245891571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811314463615417},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7350934147834778},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7230469584465027},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.684685230255127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5393509864807129},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5338643193244934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48051580786705017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3882739245891571},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7841073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841073","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 Big Data (Big Data)","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":10,"referenced_works":["https://openalex.org/W102225547","https://openalex.org/W1966553486","https://openalex.org/W1971040550","https://openalex.org/W2100235918","https://openalex.org/W2111275322","https://openalex.org/W2184397775","https://openalex.org/W2556532874","https://openalex.org/W4285719527","https://openalex.org/W4376462327","https://openalex.org/W6604059922"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Collaborative":[0],"Filtering":[1],"(CF)":[2],"Recommendation":[3],"System":[4],"is":[5,10,66,186],"a":[6,27,67,138,165],"prominent":[7],"technology":[8],"which":[9],"widely":[11],"online.":[12],"Large":[13],"variety":[14],"of":[15,22,32,88,129,150,172,178],"available":[16],"CF":[17,41,80,132,180],"algorithms":[18],"and":[19,52,82,110,189],"the":[20,33,38,59,62,72,85,100,117,123,130,179],"multitude":[21],"their":[23],"possible":[24],"parameters":[25],"have":[26],"huge":[28],"impact":[29],"on":[30,35,40],"quality":[31],"outcome":[34],"ECommerce.":[36],"Unfortunately,":[37],"literature":[39],"recommender":[42,151],"system":[43],"evaluation":[44,47,140,148],"presents":[45],"different":[46,50,77,157],"metrics":[48,109,113,120,159,177],"at":[49],"situation":[51],"could":[53],"not":[54],"provide":[55],"any":[56],"suggestion":[57],"about":[58],"best.":[60],"At":[61,134],"same":[63],"time,":[64],"it":[65],"fact":[68],"to":[69,95,121,145,175],"accept":[70],"that":[71,89],"accuracy":[73,87,105,108,112,119,158],"measure":[74],"should":[75],"be":[76,162],"for":[78,126],"each":[79],"algorithm":[81],"depends":[83],"upon":[84],"classification":[86,107,118],"particular":[90],"algorithm.":[91],"As":[92],"an":[93],"initiative":[94],"address":[96],"this":[97,135,154],"problem":[98],"in":[99],"present":[101],"research":[102,155],"paper,":[103,156],"predictive":[104],"metrics,":[106],"rank":[111],"are":[114],"considered":[115],"as":[116],"know":[122],"overall":[124],"competence":[125],"significant":[127],"features":[128],"chosen":[131],"algorithms.":[133,181],"juncture,":[136],"normalization,":[137],"distinctive":[139],"methodology,":[141],"has":[142],"been":[143],"adopted":[144],"accomplish":[146],"unique":[147],"results":[149],"systems.":[152],"In":[153],"assessment":[160],"would":[161],"brought":[163],"into":[164,170],"common":[166],"scale":[167],"by":[168],"taking":[169],"consideration":[171],"normalization":[173],"process":[174],"evaluate":[176],"A":[182],"comprehensive":[183],"comparative":[184],"analysis":[185],"carried":[187],"out":[188],"tabulated.":[190]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
