{"id":"https://openalex.org/W2024264062","doi":"https://doi.org/10.1145/2556195.2556206","title":"Search by multiple examples","display_name":"Search by multiple examples","publication_year":2014,"publication_date":"2014-02-18","ids":{"openalex":"https://openalex.org/W2024264062","doi":"https://doi.org/10.1145/2556195.2556206","mag":"2024264062"},"language":"en","primary_location":{"id":"doi:10.1145/2556195.2556206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556206","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 international conference on Web search and data mining","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/A5011807899","display_name":"Mingzhu Zhu","orcid":"https://orcid.org/0000-0002-3299-2441"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mingzhu Zhu","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101636289","display_name":"Yifang Wu","orcid":"https://orcid.org/0000-0002-9731-3155"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi-Fang Brook Wu","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA",", New Jersey Institute of Technology, Newark, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":", New Jersey Institute of Technology, Newark, NJ, USA#TAB#","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011807899"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73497749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"667","last_page":"672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.816669225692749},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7237554788589478},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.630434513092041},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6140794157981873},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5952975153923035},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5658875703811646},{"id":"https://openalex.org/keywords/downgrade","display_name":"Downgrade","score":0.5357317924499512},{"id":"https://openalex.org/keywords/information-needs","display_name":"Information needs","score":0.45360809564590454},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44304028153419495},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.42075392603874207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40038663148880005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36265748739242554},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33535534143447876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2868361473083496},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17775341868400574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.816669225692749},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7237554788589478},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.630434513092041},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6140794157981873},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5952975153923035},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5658875703811646},{"id":"https://openalex.org/C2779628075","wikidata":"https://www.wikidata.org/wiki/Q1253258","display_name":"Downgrade","level":2,"score":0.5357317924499512},{"id":"https://openalex.org/C78999398","wikidata":"https://www.wikidata.org/wiki/Q2899888","display_name":"Information needs","level":2,"score":0.45360809564590454},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44304028153419495},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.42075392603874207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40038663148880005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36265748739242554},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33535534143447876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2868361473083496},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17775341868400574},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2556195.2556206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556206","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 international conference on Web search and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W9155011","https://openalex.org/W22461475","https://openalex.org/W1515087027","https://openalex.org/W1557500049","https://openalex.org/W1601394518","https://openalex.org/W2000613522","https://openalex.org/W2000672666","https://openalex.org/W2008056655","https://openalex.org/W2043619645","https://openalex.org/W2096152098","https://openalex.org/W2107008379","https://openalex.org/W2123958887","https://openalex.org/W2125771191","https://openalex.org/W2134510195","https://openalex.org/W2136903812","https://openalex.org/W2139578439","https://openalex.org/W2143806604","https://openalex.org/W2148603752","https://openalex.org/W2156772624","https://openalex.org/W2167044614","https://openalex.org/W2914782308"],"related_works":["https://openalex.org/W3206633188","https://openalex.org/W2041034096","https://openalex.org/W2058759559","https://openalex.org/W2392180086","https://openalex.org/W2792049201","https://openalex.org/W3124827474","https://openalex.org/W4381281138","https://openalex.org/W2502474010","https://openalex.org/W2522787438","https://openalex.org/W4308654829"],"abstract_inverted_index":{"It":[0],"is":[1,80,113],"often":[2,114],"difficult":[3],"for":[4,19],"users":[5,24],"to":[6,9,25,82,107,122,179,182,189,207,233,243],"adopt":[7,49],"keywords":[8],"express":[10],"their":[11,27],"information":[12,28,192,246],"needs.":[13,247],"Search-By-Multiple-Examples":[14],"(SBME),":[15],"a":[16,31,39,108],"promising":[17],"method":[18],"overcoming":[20],"this":[21],"problem,":[22],"allows":[23],"specify":[26],"needs":[29,193],"as":[30,38,64,67,75,88,91,104],"set":[32,40,69],"of":[33,41,44,143,198,218,240],"relevant":[34,106,121],"documents":[35,200],"rather":[36],"than":[37,132],"keywords.":[42],"Most":[43],"the":[45,50,59,71,84,99,115,126,133,136,144,150,161,171,196,199,210,216,219],"studies":[46,155],"on":[47],"SBME":[48,184,236],"Positive":[51],"Unlabeled":[52],"learning":[53,225],"(PU":[54],"learning)":[55],"techniques":[56],"by":[57,185,194,214],"treating":[58],"users'":[60,245],"provided":[61],"examples":[62,101,128,242],"(denote":[63],"query":[65,100,127,241],"examples)":[66],"positive":[68],"and":[70,222],"entire":[72,85],"data":[73,86,221],"collection":[74,87],"unlabeled":[76,89,134,220],"set.":[77],"However,":[78],"it":[79,112],"inefficient":[81],"treat":[83],"set,":[90],"its":[92],"size":[93,217],"can":[94,119],"be":[95,120],"huge.":[96],"In":[97],"addition,":[98],"are":[102,129,167],"treated":[103],"being":[105],"single":[109],"topic,":[110],"but":[111],"case":[116],"that":[117],"they":[118],"multiple":[123],"topics.":[124],"As":[125],"much":[130],"fewer":[131],"data,":[135],"system":[137],"performance":[138],"may":[139],"downgrade":[140],"dramatically":[141],"because":[142],"class":[145,211],"imbalance":[146,212],"problem.":[147],"What's":[148],"more,":[149],"experiments":[151,173,232],"conducted":[152],"in":[153,163],"these":[154],"have":[156],"not":[157],"taken":[158],"into":[159],"account":[160],"settings":[162],"online":[164],"search,":[165],"which":[166],"very":[168],"different":[169,238],"from":[170],"controlled":[172],"scenario.":[174],"This":[175],"proposed":[176],"research":[177],"seeks":[178],"explore":[180],"how":[181,188,206],"improve":[183],"exploring:":[186],"(1)":[187],"predict":[190],"user'":[191],"modeling":[195],"content":[197],"using":[201,237],"probabilistic":[202],"topic":[203],"models;":[204],"(2)":[205],"deal":[208],"with":[209],"problem":[213],"reducing":[215],"adopting":[223],"machine":[224],"techniques.":[226],"We":[227],"will":[228],"also":[229],"conduct":[230],"extensive":[231],"better":[234],"evaluate":[235],"sizes":[239],"simulate":[244]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
