{"id":"https://openalex.org/W2897844661","doi":"https://doi.org/10.1007/s10115-018-1254-2","title":"Scalability and sparsity issues in recommender datasets: a survey","display_name":"Scalability and sparsity issues in recommender datasets: a survey","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2897844661","doi":"https://doi.org/10.1007/s10115-018-1254-2","mag":"2897844661"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-018-1254-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-018-1254-2","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","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/A5101925854","display_name":"Monika Singh","orcid":"https://orcid.org/0000-0003-1963-4364"},"institutions":[{"id":"https://openalex.org/I59475050","display_name":"Jamia Millia Islamia","ror":"https://ror.org/00pnhhv55","country_code":"IN","type":"education","lineage":["https://openalex.org/I59475050"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Monika Singh","raw_affiliation_strings":["Department of Computer Science, Jamia Millia Islamia, New Delhi, India","Department of Computer Science, Jamia Millia Islamia, New Delhi, 110025, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jamia Millia Islamia, New Delhi, India","institution_ids":["https://openalex.org/I59475050"]},{"raw_affiliation_string":"Department of Computer Science, Jamia Millia Islamia, New Delhi, 110025, India","institution_ids":["https://openalex.org/I59475050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101925854"],"corresponding_institution_ids":["https://openalex.org/I59475050"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":17.4614,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":{"value":0.99064058,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":"1","first_page":"1","last_page":"43"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9753000140190125,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9703999757766724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.920996904373169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8664371967315674},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6839522123336792},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6467278003692627},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.56492018699646},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.5087361931800842},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4814023971557617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4739546775817871},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4580473303794861},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.45779189467430115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4459357261657715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4270244836807251},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.18173977732658386},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1346903145313263},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.0857560932636261}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.920996904373169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8664371967315674},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6839522123336792},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6467278003692627},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.56492018699646},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.5087361931800842},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4814023971557617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4739546775817871},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4580473303794861},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.45779189467430115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4459357261657715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4270244836807251},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.18173977732658386},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1346903145313263},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0857560932636261},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-018-1254-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-018-1254-2","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":121,"referenced_works":["https://openalex.org/W29549261","https://openalex.org/W75209729","https://openalex.org/W147860157","https://openalex.org/W196199497","https://openalex.org/W281665770","https://openalex.org/W338404229","https://openalex.org/W1488971269","https://openalex.org/W1493217831","https://openalex.org/W1531910981","https://openalex.org/W1549197996","https://openalex.org/W1560147776","https://openalex.org/W1561317163","https://openalex.org/W1580421455","https://openalex.org/W1643929325","https://openalex.org/W1680797894","https://openalex.org/W1690919088","https://openalex.org/W1698234622","https://openalex.org/W1832221731","https://openalex.org/W1896115748","https://openalex.org/W1959619913","https://openalex.org/W1964701642","https://openalex.org/W1967955538","https://openalex.org/W1968278730","https://openalex.org/W1973812756","https://openalex.org/W1974196922","https://openalex.org/W1976637317","https://openalex.org/W1978680002","https://openalex.org/W1979077984","https://openalex.org/W1981132368","https://openalex.org/W1983524036","https://openalex.org/W1989072213","https://openalex.org/W1993154624","https://openalex.org/W1994389483","https://openalex.org/W1997035197","https://openalex.org/W1998889130","https://openalex.org/W1999627569","https://openalex.org/W2018573356","https://openalex.org/W2020884451","https://openalex.org/W2025605741","https://openalex.org/W2026962484","https://openalex.org/W2030808931","https://openalex.org/W2033317745","https://openalex.org/W2033767223","https://openalex.org/W2041126953","https://openalex.org/W2042281163","https://openalex.org/W2047109571","https://openalex.org/W2049455633","https://openalex.org/W2049852396","https://openalex.org/W2051532229","https://openalex.org/W2054141820","https://openalex.org/W2057763140","https://openalex.org/W2057932305","https://openalex.org/W2060297905","https://openalex.org/W2061572266","https://openalex.org/W2064173066","https://openalex.org/W2066592440","https://openalex.org/W2067600256","https://openalex.org/W2078488685","https://openalex.org/W2079191533","https://openalex.org/W2081332171","https://openalex.org/W2083001254","https://openalex.org/W2085040216","https://openalex.org/W2086206956","https://openalex.org/W2088621849","https://openalex.org/W2089720493","https://openalex.org/W2091107730","https://openalex.org/W2094286023","https://openalex.org/W2096250234","https://openalex.org/W2099242680","https://openalex.org/W2101409192","https://openalex.org/W2101893470","https://openalex.org/W2110325612","https://openalex.org/W2111275322","https://openalex.org/W2113273124","https://openalex.org/W2113858518","https://openalex.org/W2115875363","https://openalex.org/W2116684163","https://openalex.org/W2117346966","https://openalex.org/W2117354486","https://openalex.org/W2121947440","https://openalex.org/W2124133956","https://openalex.org/W2126282280","https://openalex.org/W2126558812","https://openalex.org/W2126700264","https://openalex.org/W2132115288","https://openalex.org/W2133576408","https://openalex.org/W2134023113","https://openalex.org/W2136944193","https://openalex.org/W2137245235","https://openalex.org/W2140088378","https://openalex.org/W2140190241","https://openalex.org/W2141283390","https://openalex.org/W2142972908","https://openalex.org/W2144544802","https://openalex.org/W2146130798","https://openalex.org/W2150886314","https://openalex.org/W2154137957","https://openalex.org/W2156887267","https://openalex.org/W2159094788","https://openalex.org/W2160642098","https://openalex.org/W2161581167","https://openalex.org/W2161984370","https://openalex.org/W2162173340","https://openalex.org/W2165611133","https://openalex.org/W2171423858","https://openalex.org/W2171960770","https://openalex.org/W2188093611","https://openalex.org/W2196920274","https://openalex.org/W2240799214","https://openalex.org/W2270277444","https://openalex.org/W2312550271","https://openalex.org/W2332282745","https://openalex.org/W2342935467","https://openalex.org/W2400732335","https://openalex.org/W2571268788","https://openalex.org/W2584813144","https://openalex.org/W2587407347","https://openalex.org/W2589942336","https://openalex.org/W2989134994","https://openalex.org/W4211124088","https://openalex.org/W4229929016"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2170391450","https://openalex.org/W2735929803","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W2202724490","https://openalex.org/W2119611366","https://openalex.org/W2103058005"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":17}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}