{"id":"https://openalex.org/W2017159180","doi":"https://doi.org/10.1145/2566486.2567978","title":"A Monte Carlo algorithm for cold start recommendation","display_name":"A Monte Carlo algorithm for cold start recommendation","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W2017159180","doi":"https://doi.org/10.1145/2566486.2567978","mag":"2017159180"},"language":"en","primary_location":{"id":"doi:10.1145/2566486.2567978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2566486.2567978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on World wide web","raw_type":"proceedings-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/A5100767600","display_name":"Yu Rong","orcid":"https://orcid.org/0000-0001-7387-302X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Rong","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007294216","display_name":"Wen Xiao","orcid":"https://orcid.org/0000-0001-6070-856X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wen","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101984697","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0002-4673-2587"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100767600"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":14.7248,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.98606683,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"336"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8317477107048035},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6892894506454468},{"id":"https://openalex.org/keywords/precomputation","display_name":"Precomputation","score":0.670615017414093},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5996119976043701},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5670419931411743},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48215100169181824},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.452517032623291},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4435192346572876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43445825576782227},{"id":"https://openalex.org/keywords/monte-carlo-algorithm","display_name":"Monte Carlo algorithm","score":0.4281115233898163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42023521661758423},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4100014567375183},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3951902389526367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37732353806495667},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3360111713409424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30265671014785767},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.2674696743488312},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.21553641557693481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8317477107048035},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6892894506454468},{"id":"https://openalex.org/C159379195","wikidata":"https://www.wikidata.org/wiki/Q7239568","display_name":"Precomputation","level":3,"score":0.670615017414093},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5996119976043701},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5670419931411743},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48215100169181824},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.452517032623291},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4435192346572876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43445825576782227},{"id":"https://openalex.org/C15482360","wikidata":"https://www.wikidata.org/wiki/Q15238499","display_name":"Monte Carlo algorithm","level":3,"score":0.4281115233898163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42023521661758423},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4100014567375183},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3951902389526367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37732353806495667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3360111713409424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30265671014785767},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2674696743488312},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.21553641557693481},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2566486.2567978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2566486.2567978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on World wide web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.715.3213","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.715.3213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.se.cuhk.edu.hk/%7Ehcheng/paper/WWW2014rong.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1870647653","display_name":null,"funder_award_id":"CUHK 411211, 411310","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G5266547328","display_name":null,"funder_award_id":"4055015","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1514107797","https://openalex.org/W1967229875","https://openalex.org/W1971040550","https://openalex.org/W1994389483","https://openalex.org/W2018571751","https://openalex.org/W2031305127","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2069153192","https://openalex.org/W2079335968","https://openalex.org/W2084527756","https://openalex.org/W2106502572","https://openalex.org/W2107577105","https://openalex.org/W2118674552","https://openalex.org/W2119825970","https://openalex.org/W2125326641","https://openalex.org/W2133266261","https://openalex.org/W2135029798","https://openalex.org/W2135505871","https://openalex.org/W2135598826","https://openalex.org/W2137245235","https://openalex.org/W2151510580","https://openalex.org/W2155106456","https://openalex.org/W2155912844","https://openalex.org/W2161984370","https://openalex.org/W2164361866","https://openalex.org/W2167032986","https://openalex.org/W3133677217","https://openalex.org/W3143596294"],"related_works":["https://openalex.org/W2061572266","https://openalex.org/W4226090275","https://openalex.org/W1559600655","https://openalex.org/W2346578840","https://openalex.org/W2954428433","https://openalex.org/W2161485269","https://openalex.org/W2979219289","https://openalex.org/W3004834589","https://openalex.org/W4231410851","https://openalex.org/W2965419778"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1,19],"have":[2,33],"been":[3,34],"widely":[4],"used":[5],"in":[6,17,133],"E-commerce":[7],"sites,":[8],"social":[9,69],"networks,":[10],"etc.":[11],"One":[12],"of":[13,122,211],"the":[14,23,57,74,79,100,106,128,137,154,170,207],"core":[15],"tasks":[16],"recommendation":[18,199],"is":[20,55,203],"to":[21,37,71,89,98,126,135,152,205],"predict":[22],"users'":[24],"ratings":[25],"on":[26,105,118],"items.":[27],"Although":[28],"many":[29],"models":[30],"and":[31,124,165,189,209,214],"algorithms":[32],"proposed,":[35],"how":[36],"make":[38],"accurate":[39],"prediction":[40],"for":[41,141,177,197],"new":[42,175],"users":[43,123],"with":[44,73],"extremely":[45],"few":[46],"rating":[47,109,178],"records":[48,110],"still":[49],"remains":[50],"a":[51,94,115,119,148,162],"big":[52],"challenge,":[53],"which":[54,194],"called":[56],"cold":[58,75,101,142],"start":[59,76,102,143],"problem.":[60,77],"Many":[61],"existing":[62],"methods":[63],"utilize":[64],"additional":[65],"information,":[66],"such":[67,90],"as":[68],"graphs,":[70],"cope":[72],"However,":[78],"side":[80],"information":[81],"may":[82],"not":[83],"always":[84],"be":[85,191],"available.":[86],"In":[87,180],"contrast":[88],"methods,":[91],"we":[92,113,146],"propose":[93,147],"more":[95],"general":[96],"solution":[97],"address":[99],"problem":[103,140],"based":[104],"observed":[107],"user":[108,171,176],"only.":[111],"Specifically":[112],"define":[114],"random":[116],"walk":[117],"bipartite":[120],"graph":[121],"items":[125],"simulate":[127],"preference":[129],"propagation":[130],"among":[131],"users,":[132],"order":[134],"alleviate":[136],"data":[138],"sparsity":[139],"users.":[144,158],"Then":[145],"Monte":[149],"Carlo":[150],"algorithm":[151,160,183],"estimate":[153],"similarity":[155,172],"between":[156],"different":[157],"This":[159],"takes":[161],"precomputation":[163],"approach,":[164],"thus":[166],"can":[167,184,190],"efficiently":[168],"compute":[169],"given":[173],"any":[174],"prediction.":[179],"addition,":[181],"our":[182,212,219],"easily":[185],"handle":[186],"dynamic":[187],"updates":[188],"parallelized":[192],"naturally,":[193],"are":[195],"crucial":[196],"large":[198],"systems.":[200],"Theoretical":[201],"analysis":[202],"presented":[204],"demonstrate":[206],"efficiency":[208],"effectiveness":[210],"algorithm,":[213],"extensive":[215],"experiments":[216],"also":[217],"confirm":[218],"theoretical":[220],"findings.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
