{"id":"https://openalex.org/W2207717912","doi":"https://doi.org/10.1109/bigdata.2015.7363825","title":"Learning relevance from click data via neural network based similarity models","display_name":"Learning relevance from click data via neural network based similarity models","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2207717912","doi":"https://doi.org/10.1109/bigdata.2015.7363825","mag":"2207717912"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","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/A5013062475","display_name":"Xugang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xugang Ye","raw_affiliation_strings":["Microsoft, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078564598","display_name":"Zijie Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zijie Qi","raw_affiliation_strings":["Microsoft, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210108985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048057712","display_name":"Dan Massey","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Massey","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013062475"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210108985"],"apc_list":null,"apc_paid":null,"fwci":2.1572,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90335682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"801","last_page":"806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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":0.7686529755592346},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7641488909721375},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7016539573669434},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6161633729934692},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6085497736930847},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5938169956207275},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5375127196311951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4580610394477844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3687574863433838},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33407413959503174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14100617170333862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686529755592346},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7641488909721375},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7016539573669434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6161633729934692},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6085497736930847},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5938169956207275},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5375127196311951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4580610394477844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3687574863433838},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33407413959503174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14100617170333862},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1880262756","https://openalex.org/W1965555277","https://openalex.org/W1985554184","https://openalex.org/W2063397738","https://openalex.org/W2072128103","https://openalex.org/W2107743791","https://openalex.org/W2115924763","https://openalex.org/W2131876387","https://openalex.org/W2135645798","https://openalex.org/W2136189984","https://openalex.org/W2139688392","https://openalex.org/W2147152072","https://openalex.org/W2155482025","https://openalex.org/W2158899491","https://openalex.org/W2250445771","https://openalex.org/W2399456070","https://openalex.org/W2913932916","https://openalex.org/W2952230511","https://openalex.org/W2992809543","https://openalex.org/W4231109964","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W4251560691","https://openalex.org/W4252076394","https://openalex.org/W4285719527","https://openalex.org/W6639619044","https://openalex.org/W6677091206","https://openalex.org/W6683738474","https://openalex.org/W6758860047","https://openalex.org/W6771715580"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W2048963458","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987"],"abstract_inverted_index":{"We":[0,121],"introduce":[1],"a":[2,14,49,131],"new":[3,83,97],"neural":[4,53],"network":[5,54],"based":[6,55],"similarity":[7,108],"model":[8,26,47,124],"for":[9,119,142],"learning":[10],"document":[11,33],"relevance":[12,93,143],"under":[13,35,44,139],"query.":[15],"The":[16],"main":[17],"idea":[18],"is":[19,48],"to":[20,25],"use":[21],"the":[22,27,39,69,74,79,87,100,106,110,117,126],"binomial":[23],"distribution":[24],"proportion":[28],"of":[29,51,68,99,130],"people":[30],"who":[31,41],"clicked":[32,88],"d":[34,43],"query":[36],"q":[37],"among":[38],"users":[40],"viewed":[42],"q.":[45],"Our":[46],"generalization":[50],"existing":[52,75,80],"latent":[56],"semantic":[57,107],"models":[58],"in":[59],"that":[60],"both":[61,105],"its":[62,66],"objective":[63,84],"function":[64,85],"and":[65,95,109,135],"parametrization":[67,98],"user":[70,101],"click":[71,102],"probability":[72,103],"generalizes":[73],"ones.":[76],"Compared":[77],"with":[78,91],"models,":[81],"our":[82,96,123],"distinguishes":[86],"(query,":[89],"document)-pairs":[90],"different":[92],"information,":[94],"considers":[104],"term":[111],"or":[112],"lexical":[113],"match":[114],"information":[115],"as":[116],"reasons":[118],"click(s).":[120],"tested":[122],"on":[125],"media":[127],"search":[128,133],"logs":[129],"commercial":[132],"engine":[134],"obtained":[136],"superior":[137],"performance":[138],"several":[140],"metrics":[141],"ranking.":[144]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}