{"id":"https://openalex.org/W2912057614","doi":"https://doi.org/10.1145/3291756","title":"Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines","display_name":"Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines","publication_year":2019,"publication_date":"2019-02-13","ids":{"openalex":"https://openalex.org/W2912057614","doi":"https://doi.org/10.1145/3291756","mag":"2912057614"},"language":"en","primary_location":{"id":"doi:10.1145/3291756","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291756","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on 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/A5086566231","display_name":"Babak Loni","orcid":"https://orcid.org/0000-0002-2070-9696"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Babak Loni","raw_affiliation_strings":["Delft University of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068226863","display_name":"Roberto Pagano","orcid":"https://orcid.org/0000-0003-3310-2903"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Roberto Pagano","raw_affiliation_strings":["Politecnico di Milano and Delft University of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano and Delft University of Technology, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056272341","display_name":"Martha Larson","orcid":"https://orcid.org/0000-0003-4229-5866"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Martha Larson","raw_affiliation_strings":["Delft University of Technology and Radboud University, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology and Radboud University, The Netherlands","institution_ids":["https://openalex.org/I98358874","https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037486611","display_name":"Alan Hanjali\u0107","orcid":"https://orcid.org/0000-0002-5771-2549"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alan Hanjalic","raw_affiliation_strings":["Delft University of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1622,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95636407,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"37","issue":"2","first_page":"1","last_page":"23"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9973000288009644,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9876999855041504,"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/computer-science","display_name":"Computer science","score":0.8590220212936401},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5975993871688843},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5933589339256287},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5307806730270386},{"id":"https://openalex.org/keywords/thompson-sampling","display_name":"Thompson sampling","score":0.4666134715080261},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4630129039287567},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4612402617931366},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4366985261440277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4363044500350952},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.42648279666900635},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.41838961839675903},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41367632150650024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39215153455734253},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.38992464542388916},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.10570397973060608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8590220212936401},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5975993871688843},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5933589339256287},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5307806730270386},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.4666134715080261},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4630129039287567},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4612402617931366},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4366985261440277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4363044500350952},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.42648279666900635},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.41838961839675903},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41367632150650024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39215153455734253},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.38992464542388916},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.10570397973060608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3291756","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291756","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/204506","is_oa":false,"landing_page_url":"http://hdl.handle.net/2066/204506","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Information Systems, 37, 2, pp. 1-23","raw_type":"Article / Letter to editor"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321012","display_name":"Technische Universiteit Delft","ror":"https://ror.org/02e2c7k09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W163868085","https://openalex.org/W793439893","https://openalex.org/W1412447802","https://openalex.org/W1597703625","https://openalex.org/W1866019567","https://openalex.org/W1969147614","https://openalex.org/W1973616272","https://openalex.org/W1976999215","https://openalex.org/W1981844236","https://openalex.org/W1992665562","https://openalex.org/W1994389483","https://openalex.org/W2002834872","https://openalex.org/W2008886893","https://openalex.org/W2031485704","https://openalex.org/W2054470031","https://openalex.org/W2074290495","https://openalex.org/W2094286023","https://openalex.org/W2101409192","https://openalex.org/W2102937240","https://openalex.org/W2116838569","https://openalex.org/W2140310134","https://openalex.org/W2156701939","https://openalex.org/W2164166952","https://openalex.org/W2187424591","https://openalex.org/W2295601453","https://openalex.org/W2295739661","https://openalex.org/W2415326922","https://openalex.org/W2509235963","https://openalex.org/W2517217469","https://openalex.org/W2517388038","https://openalex.org/W2611487781","https://openalex.org/W2740885325","https://openalex.org/W2904900718","https://openalex.org/W6600763685"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W1966742602"],"abstract_inverted_index":{"User":[0],"interactions":[1],"can":[2,35,56,190],"be":[3,36,191],"considered":[4],"to":[5,42,85,104,136,163,195],"constitute":[6],"different":[7,88,177],"feedback":[8,26,62,103,117,126,159],"channels,":[9],"for":[10],"example,":[11],"view,":[12],"click,":[13],"like":[14],"or":[15],"follow,":[16],"that":[17,34,82,145,152,181,202],"provide":[18],"implicit":[19,25,61],"information":[20],"on":[21,69,96,173,208],"users\u2019":[22],"preferences.":[23],"Each":[24],"channel":[27],"typically":[28],"carries":[29],"a":[30,52,78,107,164],"unary,":[31],"positive-only":[32],"signal":[33],"exploited":[37],"by":[38],"collaborative":[39],"filtering":[40],"models":[41],"generate":[43],"lists":[44],"of":[45,60,90,102,109,116,132,158,188,211],"personalized":[46],"recommendations.":[47],"This":[48],"article":[49],"investigates":[50],"how":[51],"learning-to-rank":[53,80],"recommender":[54],"system":[55],"best":[57],"take":[58],"advantage":[59],"signals":[63],"from":[64],"multiple":[65,100,125],"channels.":[66],"We":[67,92,111,134,168],"focus":[68],"Factorization":[70],"Machines":[71],"(FMs)":[72],"with":[73,87,99,119,154,182],"Bayesian":[74],"Personalized":[75],"Ranking":[76],"(BPR),":[77],"pairwise":[79],"method,":[81,122],"allows":[83],"us":[84],"experiment":[86],"forms":[89],"exploitation.":[91],"perform":[93],"extensive":[94],"experiments":[95,200],"three":[97,174],"datasets":[98,175,212],"types":[101,118],"arrive":[105],"at":[106],"series":[108],"insights.":[110],"compare":[112],"conventional,":[113],"direct":[114],"integration":[115],"our":[120,137,170,183],"proposed":[121],"which":[123],"exploits":[124],"channels":[127],"during":[128],"the":[129,155,186,196,203],"sampling":[130,147,153,166,205],"process":[131],"training.":[133],"refer":[135],"method":[138,171,206],"as":[139,214],"multi-channel":[140,146,184],"sampling.":[141],"Our":[142],"results":[143],"show":[144],"outperforms":[148],"conventional":[149],"integration,":[150],"and":[151,179],"relative":[156],"\u201clevel\u201d":[157],"is":[160],"always":[161],"superior":[162],"level-blind":[165],"approach.":[167],"evaluate":[169],"experimentally":[172],"in":[176],"domains":[178],"observe":[180],"sampler":[185],"accuracy":[187],"recommendations":[189],"improved":[192],"considerably":[193],"compared":[194],"state-of-the-art":[197],"models.":[198],"Further":[199],"reveal":[201],"appropriate":[204],"depends":[207],"particular":[209],"properties":[210],"such":[213],"popularity":[215],"skewness.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
