{"id":"https://openalex.org/W2122901787","doi":"https://doi.org/10.1145/2433396.2433481","title":"Learning query and document similarities from click-through bipartite graph with metadata","display_name":"Learning query and document similarities from click-through bipartite graph with metadata","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W2122901787","doi":"https://doi.org/10.1145/2433396.2433481","mag":"2122901787"},"language":"en","primary_location":{"id":"doi:10.1145/2433396.2433481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2433396.2433481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth 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/A5101796417","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0001-6572-8471"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455148","display_name":"Hang Li","orcid":"https://orcid.org/0000-0002-9875-696X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["Noah's Ark Lab of Huawei Technologies, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab of Huawei Technologies, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Noah's Ark Lab of Huawei Technologies, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab of Huawei Technologies, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101796417"],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":12.9842,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98652204,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"687","last_page":"696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"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/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"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":0.8203566074371338},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6778543591499329},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6161836981773376},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.565191388130188},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.5524925589561462},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5342475771903992},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.482148140668869},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4417901337146759},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.42714235186576843},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.42530685663223267},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4109021723270416},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3181886076927185},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23381584882736206},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.17525309324264526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14540332555770874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8203566074371338},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6778543591499329},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6161836981773376},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.565191388130188},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.5524925589561462},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5342475771903992},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.482148140668869},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4417901337146759},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.42714235186576843},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.42530685663223267},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4109021723270416},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3181886076927185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23381584882736206},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.17525309324264526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14540332555770874}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2433396.2433481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2433396.2433481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth ACM international conference on Web search and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W20683381","https://openalex.org/W29190566","https://openalex.org/W1482214997","https://openalex.org/W1660390307","https://openalex.org/W1956559956","https://openalex.org/W1972594981","https://openalex.org/W1972645849","https://openalex.org/W1973435495","https://openalex.org/W1985554184","https://openalex.org/W1991327379","https://openalex.org/W2009077327","https://openalex.org/W2041179002","https://openalex.org/W2061296752","https://openalex.org/W2076455317","https://openalex.org/W2083995149","https://openalex.org/W2086378526","https://openalex.org/W2093390569","https://openalex.org/W2099468750","https://openalex.org/W2100235303","https://openalex.org/W2103243299","https://openalex.org/W2103971611","https://openalex.org/W2105524250","https://openalex.org/W2109670852","https://openalex.org/W2110920461","https://openalex.org/W2113146646","https://openalex.org/W2117831564","https://openalex.org/W2136542423","https://openalex.org/W2137225583","https://openalex.org/W2139273454","https://openalex.org/W2142345475","https://openalex.org/W2144882256","https://openalex.org/W2145554761","https://openalex.org/W2147152072","https://openalex.org/W2149427297","https://openalex.org/W2158691796","https://openalex.org/W2160555926","https://openalex.org/W2164583936","https://openalex.org/W2170917242","https://openalex.org/W2534262995","https://openalex.org/W2568082647","https://openalex.org/W3004147752","https://openalex.org/W4206765718","https://openalex.org/W4251560691","https://openalex.org/W6628905179"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2026738364","https://openalex.org/W2124814993","https://openalex.org/W2572349046","https://openalex.org/W2392799717","https://openalex.org/W3125756434","https://openalex.org/W2113390685","https://openalex.org/W2017989738","https://openalex.org/W2186703450","https://openalex.org/W2146885082"],"abstract_inverted_index":{"We":[0,28],"consider":[1],"learning":[2],"query":[3],"and":[4,26,37,44,53],"document":[5],"similarities":[6],"from":[7],"a":[8],"click-through":[9,34],"bipartite":[10,35],"graph":[11,36,61],"with":[12],"metadata":[13,18],"on":[14,59],"the":[15,33,38,55,60],"nodes.":[16],"The":[17,47],"contains":[19],"multiple":[20],"types":[21],"of":[22,24],"features":[23,39],"queries":[25],"documents.":[27],"aim":[29],"to":[30,40,51],"leverage":[31],"both":[32],"learn":[41,54],"query-document,":[42],"document-document,":[43],"query-query":[45],"similarities.":[46],"challenges":[48],"include":[49],"how":[50],"model":[52],"similarity":[56],"functions":[57],"based":[58],"data.":[62]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
