{"id":"https://openalex.org/W2132335458","doi":"https://doi.org/10.1145/2507157.2508074","title":"Anytime algorithms for top-N recommenders","display_name":"Anytime algorithms for top-N recommenders","publication_year":2013,"publication_date":"2013-10-12","ids":{"openalex":"https://openalex.org/W2132335458","doi":"https://doi.org/10.1145/2507157.2508074","mag":"2132335458"},"language":"en","primary_location":{"id":"doi:10.1145/2507157.2508074","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2507157.2508074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM conference on Recommender systems","raw_type":"proceedings-article"},"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/A5007186655","display_name":"David Ben-Shimon","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"David Ben-Shimon","raw_affiliation_strings":["Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007186655"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21529405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"463","last_page":"466"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8023995161056519},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.799238920211792},{"id":"https://openalex.org/keywords/outsourcing","display_name":"Outsourcing","score":0.7879477739334106},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.618614137172699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4974205791950226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3427566885948181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.336797833442688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023995161056519},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.799238920211792},{"id":"https://openalex.org/C46934059","wikidata":"https://www.wikidata.org/wiki/Q61515","display_name":"Outsourcing","level":2,"score":0.7879477739334106},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.618614137172699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4974205791950226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3427566885948181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.336797833442688},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2507157.2508074","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2507157.2508074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM conference on Recommender systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W104820689","https://openalex.org/W1502916507","https://openalex.org/W1548158210","https://openalex.org/W1554550477","https://openalex.org/W1596697395","https://openalex.org/W1971040550","https://openalex.org/W2110325612","https://openalex.org/W2131629857","https://openalex.org/W2159094788","https://openalex.org/W2163316275","https://openalex.org/W2591957553","https://openalex.org/W2745750801"],"related_works":["https://openalex.org/W2358200898","https://openalex.org/W2325765407","https://openalex.org/W618293728","https://openalex.org/W2788012436","https://openalex.org/W200604156","https://openalex.org/W4231184955","https://openalex.org/W2374784346","https://openalex.org/W2291845669","https://openalex.org/W4286615217","https://openalex.org/W3154723744"],"abstract_inverted_index":{"Many":[0],"small":[1],"and":[2,18,38,55],"mid-sized":[3],"e-businesses":[4],"use":[5],"the":[6,16,33,40,52,74,81,87,89,124,130,137,155,158],"services":[7],"of":[8,20,61,76,132,147,157],"recommender":[9],"system":[10,59],"(RS)":[11],"provider":[12,49,68],"companies":[13],"to":[14,72,93,106,123],"outsource":[15],"construction":[17,75],"maintenance":[19],"their":[21,29],"RS.":[22],"The":[23],"fees":[24],"that":[25,109],"RS":[26,48,67,110],"providers":[27,111],"charge":[28],"clients":[30],"must":[31],"cover":[32],"computation":[34,53],"costs":[35,54],"for":[36,83,161],"constructing":[37],"updating":[39],"recommendation":[41,78,118],"model.":[42],"By":[43],"using":[44,143],"anytime":[45,100,125,138],"algorithms,":[46,134],"a":[47,58,66,77,103,107,151],"can":[50,120,140],"control":[51],"still":[56],"offer":[57],"capable":[60],"delivering":[62],"reasonable":[63],"recommendations.":[64],"Thus,":[65],"should":[69],"be":[70,121,141],"able":[71],"stop":[73],"model":[79],"once":[80],"cost":[82],"compu-ting":[84],"it":[85],"reaches":[86],"amount":[88],"customer":[90],"has":[91],"agreed":[92],"pay.":[94],"In":[95],"this":[96],"research":[97],"we":[98],"suggest":[99],"algorithms":[101,119],"as":[102],"possible":[104],"solu-tion":[105],"problem":[108],"face.":[112],"We":[113,127,149],"demonstrate":[114],"how":[115,136],"certain":[116],"existing":[117],"adjusted":[122],"framework.":[126],"focus":[128],"on":[129],"case":[131],"item-item":[133,163],"showing":[135],"behavior":[139],"improved":[142],"different":[144],"ordering":[145],"methods":[146,160],"computations.":[148],"conduct":[150],"comparative":[152],"study":[153],"demonstrating":[154],"benefits":[156],"proposed":[159],"top-N":[162],"recommenders.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
