{"id":"https://openalex.org/W1509825211","doi":"https://doi.org/10.14778/2733085.2733099","title":"Generating top-k packages via preference elicitation","display_name":"Generating top-k packages via preference elicitation","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1509825211","doi":"https://doi.org/10.14778/2733085.2733099","mag":"1509825211"},"language":"en","primary_location":{"id":"doi:10.14778/2733085.2733099","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2733085.2733099","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5031241828","display_name":"Min Xie","orcid":"https://orcid.org/0000-0003-2356-782X"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Min Xie","raw_affiliation_strings":["Univ. of British Columbia","University of British Columbia"],"affiliations":[{"raw_affiliation_string":"Univ. of British Columbia","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061340195","display_name":"Laks V. S. Lakshmanan","orcid":"https://orcid.org/0000-0002-9775-4241"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Laks V. S. Lakshmanan","raw_affiliation_strings":["Univ. of British Columbia","University of British Columbia"],"affiliations":[{"raw_affiliation_string":"Univ. of British Columbia","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090201647","display_name":"Peter T. Wood","orcid":"https://orcid.org/0000-0003-3704-1431"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter T. Wood","raw_affiliation_strings":["Birkbeck, U. of London"],"affiliations":[{"raw_affiliation_string":"Birkbeck, U. of London","institution_ids":["https://openalex.org/I98259816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031241828"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":1.7665,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.84153504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":"14","first_page":"1941","last_page":"1952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.996999979019165,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7939437627792358},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7585320472717285},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.7188818454742432},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.70071941614151},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.627486526966095},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5846063494682312},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5682515501976013},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5171798467636108},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5060157179832458},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.47276952862739563},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.4451005756855011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35369759798049927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3331880569458008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29996100068092346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0804133415222168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939437627792358},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7585320472717285},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.7188818454742432},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.70071941614151},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.627486526966095},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5846063494682312},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5682515501976013},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5171798467636108},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5060157179832458},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.47276952862739563},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.4451005756855011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35369759798049927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3331880569458008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29996100068092346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0804133415222168},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/2733085.2733099","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2733085.2733099","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:eprints.bbk.ac.uk.oai2:10941","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400466","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.657.9760","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.657.9760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/vol7/p1941-xie.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1525934073","https://openalex.org/W1554663460","https://openalex.org/W1964556313","https://openalex.org/W1979117702","https://openalex.org/W1986808060","https://openalex.org/W1996945116","https://openalex.org/W2002699418","https://openalex.org/W2008196645","https://openalex.org/W2009688537","https://openalex.org/W2010127467","https://openalex.org/W2010225880","https://openalex.org/W2057487175","https://openalex.org/W2062058373","https://openalex.org/W2081541855","https://openalex.org/W2096675082","https://openalex.org/W2100579822","https://openalex.org/W2108862644","https://openalex.org/W2110920860","https://openalex.org/W2117929803","https://openalex.org/W2121985689","https://openalex.org/W2126500482","https://openalex.org/W2127842795","https://openalex.org/W2145577227","https://openalex.org/W2149906774","https://openalex.org/W2168707264","https://openalex.org/W2168976073","https://openalex.org/W2170188482","https://openalex.org/W2171960770","https://openalex.org/W2249418430","https://openalex.org/W3125327405","https://openalex.org/W4238665603","https://openalex.org/W4243715249","https://openalex.org/W6676446099"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W1562775108","https://openalex.org/W2898073868","https://openalex.org/W4390446658","https://openalex.org/W2138488530","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2352397247"],"abstract_inverted_index":{"There":[0],"are":[1,17,49,99],"several":[2,181],"applications,":[3],"such":[4],"as":[5],"play":[6],"lists":[7],"of":[8,25,27,40,60,72,141,215,218,240],"songs":[9],"or":[10,58,93],"movies,":[11],"and":[12,162,231,238],"shopping":[13],"carts,":[14],"where":[15,209],"users":[16],"interested":[18],"in":[19,158,222],"finding":[20,118,245],"top-":[21,120,201,246],"k":[22,121,202,247],"packages,":[23,57],"consisting":[24],"sets":[26,59],"items.":[28,61],"In":[29],"response":[30],"to":[31,55,86,105,145],"this":[32,147],"need,":[33],"there":[34],"has":[35],"been":[36],"a":[37,132,143,164,216],"recent":[38,64],"flurry":[39],"activity":[41],"around":[42],"extending":[43],"classical":[44],"recommender":[45],"systems":[46],"(RS),":[47],"which":[48,82,98,136,150],"effective":[50],"at":[51],"recommending":[52],"individual":[53],"items,":[54],"recommend":[56],"The":[62],"few":[63],"proposals":[65],"for":[66,102,117,123,168,199,244],"package":[67],"RS":[68],"suffer":[69],"from":[70],"one":[71],"the":[73,91,103,137,156,159,170,177,190,205,210,223,236,241],"following":[74],"drawbacks:":[75],"they":[76],"either":[77],"rely":[78],"on":[79,94,228],"hard":[80],"constraints":[81],"may":[83],"be":[84,87],"difficult":[85],"specified":[88],"exactly":[89],"by":[90,125,176],"user":[92,104,144,186],"returning":[95],"Pareto-optimal":[96],"packages":[97,122,130,203],"too":[100],"numerous":[101],"sift":[106],"through.":[107],"To":[108],"overcome":[109],"these":[110],"limitations,":[111],"we":[112,153,234],"propose":[113,163,180],"an":[114,196],"alternative":[115],"approach":[116],"personalized":[119],"users,":[124],"capturing":[126],"users'":[127],"preferences":[128],"over":[129],"using":[131,204],"linear":[133],"utility":[134,160,171,192,207],"function":[135,148,161,172],"system":[138,243],"learns.":[139],"Instead":[140],"asking":[142],"specify":[146],"explicitly,":[149],"is":[151],"unrealistic,":[152],"explicitly":[154],"model":[155],"uncertainty":[157],"preference":[165],"elicitation-based":[166],"framework":[167],"learning":[169],"through":[173],"feedback":[174],"provided":[175],"user.":[178],"We":[179,194],"sampling-based":[182],"methods":[183],"which,":[184],"given":[185],"feedback,":[187],"can":[188],"capture":[189],"updated":[191],"function.":[193],"develop":[195],"efficient":[197],"algorithm":[198],"generating":[200],"learned":[206],"function,":[208],"rank":[211],"ordering":[212],"respects":[213],"any":[214],"variety":[217],"ranking":[219],"semantics":[220],"proposed":[221,242],"literature.":[224],"Through":[225],"extensive":[226],"experiments":[227],"both":[229],"real":[230],"synthetic":[232],"datasets,":[233],"demonstrate":[235],"efficiency":[237],"effectiveness":[239],"packages.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
