{"id":"https://openalex.org/W2948150888","doi":"https://doi.org/10.1007/978-3-030-22815-6_25","title":"CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding","display_name":"CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948150888","doi":"https://doi.org/10.1007/978-3-030-22815-6_25","mag":"2948150888"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-22815-6_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-22815-6_25","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":"conference-paper","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/A5040889569","display_name":"Heng\u2010Ru Zhang","orcid":"https://orcid.org/0000-0001-9187-9847"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heng-Ru Zhang","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":"https://orcid.org/0000-0001-9187-9847","affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021524426","display_name":"Jie Qian","orcid":"https://orcid.org/0000-0002-5158-0223"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Qian","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":"https://orcid.org/0000-0002-5158-0223","affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740354","display_name":"Fan Min","orcid":"https://orcid.org/0000-0002-3290-1036"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Min","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":"https://orcid.org/0000-0002-3290-1036","affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040889569"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0614275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"330"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9678999781608582,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9628000259399414,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.8648133277893066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7851828336715698},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7137132883071899},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6324980854988098},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47832751274108887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4430186450481415},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44201192259788513},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4227627217769623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3568668067455292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3142392039299011}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8648133277893066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851828336715698},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7137132883071899},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6324980854988098},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47832751274108887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4430186450481415},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44201192259788513},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4227627217769623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3568668067455292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3142392039299011},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-22815-6_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-22815-6_25","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W837378864","https://openalex.org/W1574447377","https://openalex.org/W1580049798","https://openalex.org/W1973965874","https://openalex.org/W1981825277","https://openalex.org/W2033500845","https://openalex.org/W2034185152","https://openalex.org/W2039240409","https://openalex.org/W2042281163","https://openalex.org/W2054449235","https://openalex.org/W2058732827","https://openalex.org/W2070813883","https://openalex.org/W2074584355","https://openalex.org/W2076774407","https://openalex.org/W2093509762","https://openalex.org/W2098576843","https://openalex.org/W2101409192","https://openalex.org/W2104597806","https://openalex.org/W2105953200","https://openalex.org/W2119191234","https://openalex.org/W2122937613","https://openalex.org/W2152208379","https://openalex.org/W2162089666","https://openalex.org/W2310435784","https://openalex.org/W2342173888","https://openalex.org/W2618815641","https://openalex.org/W2764035296","https://openalex.org/W2793204384","https://openalex.org/W2887535531","https://openalex.org/W2892078476","https://openalex.org/W2938284959"],"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":null,"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
