{"id":"https://openalex.org/W2167598575","doi":"https://doi.org/10.1145/1571941.1572033","title":"The wisdom of the few","display_name":"The wisdom of the few","publication_year":2009,"publication_date":"2009-07-19","ids":{"openalex":"https://openalex.org/W2167598575","doi":"https://doi.org/10.1145/1571941.1572033","mag":"2167598575"},"language":"en","primary_location":{"id":"doi:10.1145/1571941.1572033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1571941.1572033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7106&context=sis_research","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017431776","display_name":"Xavier Amatriain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Xavier Amatriain","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082323876","display_name":"Neal Lathia","orcid":"https://orcid.org/0000-0003-1696-5838"},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Neal Lathia","raw_affiliation_strings":["University College of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College of London, London, United Kingdom","institution_ids":["https://openalex.org/I4210144746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077591903","display_name":"Josep M. Pujol","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Josep M. Pujol","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061923992","display_name":"Haewoon Kwak","orcid":"https://orcid.org/0000-0003-1418-0834"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haewoon Kwak","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013727792","display_name":"Nuria Oliver","orcid":"https://orcid.org/0000-0001-5985-691X"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nuria Oliver","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017431776"],"corresponding_institution_ids":["https://openalex.org/I4210134591"],"apc_list":null,"apc_paid":null,"fwci":33.4385,"has_fulltext":false,"cited_by_count":144,"citation_normalized_percentile":{"value":0.99623079,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"532","last_page":"539"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.9155144691467285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8419245481491089},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6684519648551941},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6262913942337036},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.618559718132019},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6144179105758667},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6031452417373657},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5895912647247314},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.563338041305542},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.4860456585884094},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4497409760951996},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4334125518798828},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.41930100321769714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3911433815956116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33067572116851807},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08979514241218567}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.9155144691467285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8419245481491089},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6684519648551941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6262913942337036},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.618559718132019},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6144179105758667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6031452417373657},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5895912647247314},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.563338041305542},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.4860456585884094},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4497409760951996},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4334125518798828},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.41930100321769714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3911433815956116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33067572116851807},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08979514241218567},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1571941.1572033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1571941.1572033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-7106","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7106&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://dl.acm.org/doi/10.1145/1571941.1572033","raw_type":"Conference Proceeding Article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:75907","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/75907/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Sanderson, M and Zhai, CX and Zobel, J and Allan, J and Aslam, JA, (eds.)  (Proceedings) 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. (pp. pp. 532-539).  ASSOC COMPUTING MACHINERY (2009)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-7106","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7106&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://dl.acm.org/doi/10.1145/1571941.1572033","raw_type":"Conference Proceeding Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1096953962","display_name":null,"funder_award_id":"EP/D07696X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1488971269","https://openalex.org/W1752113488","https://openalex.org/W1872493208","https://openalex.org/W1972156947","https://openalex.org/W1972163278","https://openalex.org/W1980202081","https://openalex.org/W2026844232","https://openalex.org/W2042281163","https://openalex.org/W2070689335","https://openalex.org/W2075807628","https://openalex.org/W2096110600","https://openalex.org/W2096762662","https://openalex.org/W2097083044","https://openalex.org/W2113273124","https://openalex.org/W2124029832","https://openalex.org/W2128629010","https://openalex.org/W2142144955","https://openalex.org/W2142651607","https://openalex.org/W2143640737","https://openalex.org/W2155106456","https://openalex.org/W2155912844","https://openalex.org/W2171960770","https://openalex.org/W2172249709","https://openalex.org/W3035787931"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2358418295","https://openalex.org/W2170391450","https://openalex.org/W2497939785","https://openalex.org/W4376854386","https://openalex.org/W2735929803"],"abstract_inverted_index":{"Nearest-neighbor":[0],"collaborative":[1,54,102],"filtering":[2],"provides":[3],"a":[4,35,50,59,71,114,126,161],"successful":[5],"means":[6],"of":[7,52,73,97,116,129,137,149,160],"generating":[8],"recommendations":[9,167],"for":[10,38],"web":[11,127],"users.":[12],"However,":[13],"this":[14,31],"approach":[15,111],"suffers":[16],"from":[17,76,125],"several":[18],"shortcomings,":[19],"including":[20],"data":[21,119],"sparsity":[22],"and":[23,28,140],"noise,":[24],"the":[25,64,89,98,117,147,158,166],"cold-start":[26],"problem,":[27],"scalability.":[29],"In":[30],"work,":[32],"we":[33,145],"present":[34],"novel":[36],"method":[37,48,92,151],"recommending":[39],"items":[40],"to":[41,63,85,88,94,152],"users":[42,164],"based":[43],"on":[44],"expert":[45,74,130],"opinions.":[46],"Our":[47],"is":[49],"variation":[51],"traditional":[53,101],"filtering:":[55],"rather":[56],"than":[57],"applying":[58],"nearest":[60],"neighbor":[61],"algorithm":[62],"user-rating":[65],"data,":[66],"predictions":[67],"are":[68,82],"computed":[69],"using":[70],"set":[72],"neighbors":[75],"an":[77],"independent":[78],"dataset,":[79],"whose":[80],"opinions":[81],"weighted":[83],"according":[84],"their":[86],"similarity":[87],"user.":[90],"This":[91],"promises":[93],"address":[95],"some":[96],"weaknesses":[99],"in":[100,135],"filtering,":[103],"while":[104],"maintaining":[105],"comparable":[106],"accuracy.":[107],"We":[108,121],"validate":[109],"our":[110,150,170],"by":[112,156,169],"predicting":[113],"subset":[115],"Netflix":[118],"set.":[120],"use":[122],"ratings":[123],"crawled":[124],"portal":[128],"reviews,":[131],"measuring":[132],"results":[133,159],"both":[134],"terms":[136],"prediction":[138],"accuracy":[139],"recommendation":[141],"list":[142],"precision.":[143],"Finally,":[144],"explore":[146],"ability":[148],"generate":[153],"useful":[154],"recommendations,":[155],"reporting":[157],"user-study":[162],"where":[163],"prefer":[165],"generated":[168],"approach.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":19},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":18}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}