{"id":"https://openalex.org/W1495249521","doi":"https://doi.org/10.1007/978-3-540-73499-4_41","title":"Comparing State-of-the-Art Collaborative Filtering Systems","display_name":"Comparing State-of-the-Art Collaborative Filtering Systems","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W1495249521","doi":"https://doi.org/10.1007/978-3-540-73499-4_41","mag":"1495249521"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-73499-4_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-73499-4_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5040379724","display_name":"Laurent Candillier","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Laurent Candillier","raw_affiliation_strings":["France Telecom R&D Lannion, France","France Telecom R&D, Lannion, France"],"affiliations":[{"raw_affiliation_string":"France Telecom R&D Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022711821","display_name":"Frank Meyer","orcid":"https://orcid.org/0000-0002-5863-5207"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frank Meyer","raw_affiliation_strings":["France Telecom R&D Lannion, France","France Telecom R&D, Lannion, France"],"affiliations":[{"raw_affiliation_string":"France Telecom R&D Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111936967","display_name":"Marc Boull\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc Boull\u00e9","raw_affiliation_strings":["France Telecom R&D Lannion, France","France Telecom R&D, Lannion, France"],"affiliations":[{"raw_affiliation_string":"France Telecom R&D Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040379724"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":6.6927,"has_fulltext":false,"cited_by_count":171,"citation_normalized_percentile":{"value":0.97295223,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"548","last_page":"562"},"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/T12384","display_name":"Customer churn and segmentation","score":0.991100013256073,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9843000173568726,"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":0.9450759887695312},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.894210934638977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8730095624923706},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6374518871307373},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6309292316436768},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5889703631401062},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.569192111492157},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4982438087463379},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46067604422569275},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4498879909515381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36553099751472473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3589644432067871},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34336304664611816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06934317946434021}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.9450759887695312},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.894210934638977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8730095624923706},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6374518871307373},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6309292316436768},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5889703631401062},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.569192111492157},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4982438087463379},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46067604422569275},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4498879909515381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36553099751472473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3589644432067871},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34336304664611816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06934317946434021},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-73499-4_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-73499-4_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.6237","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.6237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.grappa.univ-lille3.fr/~candillier/publis/MLDM07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W203389731","https://openalex.org/W1574241439","https://openalex.org/W1574284628","https://openalex.org/W1587170344","https://openalex.org/W1629473008","https://openalex.org/W1968463521","https://openalex.org/W1970558858","https://openalex.org/W1971040550","https://openalex.org/W1978304080","https://openalex.org/W1996283866","https://openalex.org/W2042281163","https://openalex.org/W2049670925","https://openalex.org/W2109992782","https://openalex.org/W2110325612","https://openalex.org/W2117354486","https://openalex.org/W2124133956","https://openalex.org/W2124591829","https://openalex.org/W2128629010","https://openalex.org/W2133814741","https://openalex.org/W2137728971","https://openalex.org/W2138745909","https://openalex.org/W2142144955","https://openalex.org/W2155106456","https://openalex.org/W2171960770","https://openalex.org/W2737885910","https://openalex.org/W2912934387","https://openalex.org/W4393367792"],"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/W2981634480","https://openalex.org/W2188396403","https://openalex.org/W2368078825","https://openalex.org/W4288082747"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":12}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}