{"id":"https://openalex.org/W2952709651","doi":"https://doi.org/10.1145/3292500.3330786","title":"A Deep Generative Approach to Search Extrapolation and Recommendation","display_name":"A Deep Generative Approach to Search Extrapolation and Recommendation","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2952709651","doi":"https://doi.org/10.1145/3292500.3330786","mag":"2952709651"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; 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/A5103231191","display_name":"Fred X. Han","orcid":"https://orcid.org/0000-0001-9379-2147"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fred X. Han","raw_affiliation_strings":["University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032424832","display_name":"Di Niu","orcid":"https://orcid.org/0000-0002-5250-7327"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Di Niu","raw_affiliation_strings":["University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062624991","display_name":"Haolan Chen","orcid":"https://orcid.org/0009-0004-8226-9608"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolan Chen","raw_affiliation_strings":["Tencent, ShenZhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, ShenZhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102307089","display_name":"Kunfeng Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunfeng Lai","raw_affiliation_strings":["Tencent, ShenZhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, ShenZhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325403","display_name":"Yancheng He","orcid":"https://orcid.org/0009-0003-5078-0447"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yancheng He","raw_affiliation_strings":["Tencent, ShenZhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, ShenZhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077651244","display_name":"Yu Xu","orcid":"https://orcid.org/0000-0003-2942-3739"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xu","raw_affiliation_strings":["Tencent, ShenZhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, ShenZhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103231191"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":1.2601,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84994558,"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":"1771","last_page":"1779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994999766349792,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994999766349792,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.994700014591217,"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":0.8030468225479126},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6990746855735779},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5783330798149109},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.569703221321106},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5293477177619934},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5190525650978088},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5062491297721863},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4873102903366089},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.4600204825401306},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35329747200012207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30948901176452637},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2464708387851715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07805472612380981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030468225479126},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6990746855735779},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5783330798149109},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.569703221321106},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5293477177619934},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5190525650978088},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5062491297721863},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4873102903366089},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.4600204825401306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35329747200012207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30948901176452637},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2464708387851715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07805472612380981},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3330786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; 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":32,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W1924770834","https://openalex.org/W1979459060","https://openalex.org/W2008353316","https://openalex.org/W2086751477","https://openalex.org/W2095705004","https://openalex.org/W2100664567","https://openalex.org/W2101105183","https://openalex.org/W2107334351","https://openalex.org/W2117831564","https://openalex.org/W2118206599","https://openalex.org/W2120641257","https://openalex.org/W2133564696","https://openalex.org/W2135843591","https://openalex.org/W2154652894","https://openalex.org/W2169498276","https://openalex.org/W2170741935","https://openalex.org/W2529089661","https://openalex.org/W2533180076","https://openalex.org/W2568082647","https://openalex.org/W2739401819","https://openalex.org/W2892181857","https://openalex.org/W2895953440","https://openalex.org/W2899771611","https://openalex.org/W2911857455","https://openalex.org/W2913710968","https://openalex.org/W2949888546","https://openalex.org/W2951986044","https://openalex.org/W2963341956","https://openalex.org/W2963371447","https://openalex.org/W2964165364","https://openalex.org/W3101817723"],"related_works":["https://openalex.org/W2366644548","https://openalex.org/W2576496345","https://openalex.org/W2804576480","https://openalex.org/W1601704076","https://openalex.org/W1560771748","https://openalex.org/W1581365825","https://openalex.org/W2119135658","https://openalex.org/W2161902337","https://openalex.org/W2373213638","https://openalex.org/W2384888906"],"abstract_inverted_index":{"Related":[0],"search":[1,11,28,68],"query":[2],"recommendation":[3],"is":[4],"a":[5,63],"standard":[6],"feature":[7],"in":[8],"many":[9],"modern":[10],"engines.":[12],"Interesting":[13],"and":[14,24,52],"relevant":[15],"queries":[16],"often":[17],"increase":[18],"the":[19,26,46,56],"active":[20],"time":[21],"of":[22,49,66],"users":[23],"improve":[25],"overall":[27],"experience.":[29],"However,":[30],"conventional":[31],"approaches":[32],"based":[33],"on":[34],"tag":[35],"extraction,":[36],"keywords":[37],"matching":[38],"or":[39],"click":[40],"graph":[41],"link":[42],"analysis":[43],"suffer":[44],"from":[45],"common":[47],"problem":[48],"limited":[50],"coverage":[51],"generalizability,":[53],"which":[54],"means":[55],"system":[57],"could":[58],"only":[59],"make":[60],"suggestions":[61],"for":[62],"small":[64],"portion":[65],"well-formed":[67],"queries.":[69]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
