{"id":"https://openalex.org/W4253380895","doi":"https://doi.org/10.1007/978-1-4899-7637-6_7","title":"Data Mining Methods for Recommender Systems","display_name":"Data Mining Methods for Recommender Systems","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W4253380895","doi":"https://doi.org/10.1007/978-1-4899-7637-6_7"},"language":"en","primary_location":{"id":"doi:10.1007/978-1-4899-7637-6_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4899-7637-6_7","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Recommender Systems Handbook","raw_type":"book-chapter"},"type":"book-chapter","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/A5017431776","display_name":"Xavier Amatriain","orcid":null},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xavier Amatriain","raw_affiliation_strings":["Netflix, 100 Winchester Cr., Los Gatos, CA, 95032, USA"],"affiliations":[{"raw_affiliation_string":"Netflix, 100 Winchester Cr., Los Gatos, CA, 95032, USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077591903","display_name":"Josep M. Pujol","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Josep M. Pujol","raw_affiliation_strings":["Cliqz, Rosenkavalierplatz 10, 81925, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Cliqz, Rosenkavalierplatz 10, 81925, Munich, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017431776"],"corresponding_institution_ids":["https://openalex.org/I869089601"],"apc_list":null,"apc_paid":null,"fwci":12.5573,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.99109907,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962000250816345,"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":0.9950000047683716,"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/recommender-system","display_name":"Recommender system","score":0.8115179538726807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8046019673347473},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6817859411239624},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6561353802680969},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6359590888023376},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.585268497467041},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5671159625053406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5274926424026489},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4985337257385254},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.48752400279045105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4795536696910858},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4782225787639618},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4381585121154785}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8115179538726807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046019673347473},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6817859411239624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6561353802680969},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6359590888023376},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.585268497467041},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5671159625053406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5274926424026489},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4985337257385254},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.48752400279045105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4795536696910858},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4782225787639618},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4381585121154785},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-1-4899-7637-6_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4899-7637-6_7","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Recommender Systems Handbook","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W412939","https://openalex.org/W18455364","https://openalex.org/W40442397","https://openalex.org/W244358618","https://openalex.org/W1503398984","https://openalex.org/W1506285740","https://openalex.org/W1506806321","https://openalex.org/W1539269997","https://openalex.org/W1542664738","https://openalex.org/W1552767446","https://openalex.org/W1559686786","https://openalex.org/W1563088657","https://openalex.org/W1570448133","https://openalex.org/W1575641478","https://openalex.org/W1590183771","https://openalex.org/W1629473008","https://openalex.org/W1670263352","https://openalex.org/W1678356000","https://openalex.org/W1817561967","https://openalex.org/W1832221731","https://openalex.org/W1853953842","https://openalex.org/W1872493208","https://openalex.org/W1971040550","https://openalex.org/W1971387204","https://openalex.org/W1972156947","https://openalex.org/W1972484488","https://openalex.org/W1989496436","https://openalex.org/W1989534515","https://openalex.org/W2013221919","https://openalex.org/W2026091747","https://openalex.org/W2027840121","https://openalex.org/W2031237011","https://openalex.org/W2038276547","https://openalex.org/W2045678208","https://openalex.org/W2049670925","https://openalex.org/W2057328179","https://openalex.org/W2075807628","https://openalex.org/W2078464983","https://openalex.org/W2078663894","https://openalex.org/W2078841894","https://openalex.org/W2079577201","https://openalex.org/W2080512030","https://openalex.org/W2081572301","https://openalex.org/W2099581008","https://openalex.org/W2099866409","https://openalex.org/W2105831665","https://openalex.org/W2107853397","https://openalex.org/W2110325612","https://openalex.org/W2113273124","https://openalex.org/W2113780304","https://openalex.org/W2114353347","https://openalex.org/W2117354486","https://openalex.org/W2117450489","https://openalex.org/W2122111042","https://openalex.org/W2124029832","https://openalex.org/W2137728971","https://openalex.org/W2140910558","https://openalex.org/W2142144955","https://openalex.org/W2144352349","https://openalex.org/W2147152072","https://openalex.org/W2147654806","https://openalex.org/W2148943147","https://openalex.org/W2153110279","https://openalex.org/W2155912844","https://openalex.org/W2158266063","https://openalex.org/W2163031773","https://openalex.org/W2163688430","https://openalex.org/W2165232124","https://openalex.org/W2167598575","https://openalex.org/W2167680278","https://openalex.org/W2170162021","https://openalex.org/W2171960770","https://openalex.org/W2184994699","https://openalex.org/W2292575322","https://openalex.org/W2296244148","https://openalex.org/W2396310706","https://openalex.org/W2911964244","https://openalex.org/W2920943913","https://openalex.org/W6602207505","https://openalex.org/W6631775930","https://openalex.org/W6634777599","https://openalex.org/W6639619044","https://openalex.org/W6734582538","https://openalex.org/W6817491142"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W38161807","https://openalex.org/W2508671622"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
