{"id":"https://openalex.org/W2962770891","doi":"https://doi.org/10.1145/3331184.3331246","title":"Context Attentive Document Ranking and Query Suggestion","display_name":"Context Attentive Document Ranking and Query Suggestion","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2962770891","doi":"https://doi.org/10.1145/3331184.3331246","mag":"2962770891"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331246","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331246","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331246","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331246","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103968040","display_name":"Wasi Uddin Ahmad","orcid":"https://orcid.org/0000-0001-8171-9583"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wasi Uddin Ahmad","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087096372","display_name":"Kai-Wei Chang","orcid":"https://orcid.org/0000-0001-5365-0072"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai-Wei Chang","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":97,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991999864578247,"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":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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":0.824636697769165},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7859516739845276},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6539222002029419},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6482467651367188},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6428039073944092},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6210194230079651},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5637267827987671},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.532110333442688},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48474714159965515},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4835757613182068},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.47809645533561707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43399131298065186},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4312136471271515},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4147319495677948},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.3678213953971863},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.07827836275100708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824636697769165},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7859516739845276},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6539222002029419},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6482467651367188},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6428039073944092},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6210194230079651},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5637267827987671},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.532110333442688},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48474714159965515},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4835757613182068},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.47809645533561707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43399131298065186},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4312136471271515},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4147319495677948},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.3678213953971863},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.07827836275100708},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3331184.3331246","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331246","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331246","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3331184.3331246","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331246","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331246","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G118577680","display_name":null,"funder_award_id":"IIS-1553568, IIS-1618948","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4385247538","display_name":"CRII: RI: Learning Structured Prediction Models with Auxiliary Supervision","funder_award_id":"1760523","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4698958416","display_name":null,"funder_award_id":"IIS-1553568, IIS-1618948, IIS-1760523","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5245339017","display_name":"CAREER: Human-Centric Knowledge Discovery and Decision Optimization","funder_award_id":"1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7441103298","display_name":null,"funder_award_id":"IIS-1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7888745661","display_name":"III: Small: Collaborative Learning with Incomplete and Noisy Knowledge","funder_award_id":"1618948","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8793715909","display_name":null,"funder_award_id":"IIS-1618948","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962770891.pdf","grobid_xml":"https://content.openalex.org/works/W2962770891.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1815076433","https://openalex.org/W1951891667","https://openalex.org/W1974360117","https://openalex.org/W1975409939","https://openalex.org/W1982858363","https://openalex.org/W1993378086","https://openalex.org/W2023919898","https://openalex.org/W2030960598","https://openalex.org/W2055007736","https://openalex.org/W2064675550","https://openalex.org/W2082718666","https://openalex.org/W2093390569","https://openalex.org/W2095627566","https://openalex.org/W2095705004","https://openalex.org/W2101105183","https://openalex.org/W2105981469","https://openalex.org/W2127539404","https://openalex.org/W2128892113","https://openalex.org/W2131774270","https://openalex.org/W2131876387","https://openalex.org/W2135500808","https://openalex.org/W2136189984","https://openalex.org/W2137931117","https://openalex.org/W2139450192","https://openalex.org/W2140387367","https://openalex.org/W2143104527","https://openalex.org/W2143196462","https://openalex.org/W2150263845","https://openalex.org/W2152314154","https://openalex.org/W2155482025","https://openalex.org/W2170738476","https://openalex.org/W2171392812","https://openalex.org/W2250539671","https://openalex.org/W2294059674","https://openalex.org/W2295072214","https://openalex.org/W2536015822","https://openalex.org/W2539671052","https://openalex.org/W2580079839","https://openalex.org/W2610935556","https://openalex.org/W2745673470","https://openalex.org/W2786171444","https://openalex.org/W2788210317","https://openalex.org/W2798492560","https://openalex.org/W2807780906","https://openalex.org/W2889181558","https://openalex.org/W2889904010","https://openalex.org/W2897055093","https://openalex.org/W2949335953","https://openalex.org/W2949888546","https://openalex.org/W2962770891","https://openalex.org/W2963298472","https://openalex.org/W2964308564","https://openalex.org/W3125048696","https://openalex.org/W3212575067","https://openalex.org/W4206765718","https://openalex.org/W4252076394","https://openalex.org/W4289377895"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W1521725692","https://openalex.org/W3008917487","https://openalex.org/W2901901036","https://openalex.org/W3197639690","https://openalex.org/W2572349046","https://openalex.org/W2185998359","https://openalex.org/W2381709896","https://openalex.org/W1997681727","https://openalex.org/W4236234562"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,19,79],"context-aware":[3],"neural":[4,23],"ranking":[5,49],"model":[6],"to":[7,27],"exploit":[8],"users'":[9,62],"on-task":[10],"search":[11,29,35,59,64,99,103],"activities":[12],"and":[13,37,50,61,85],"enhance":[14],"retrieval":[15,46],"performance.":[16],"In":[17],"particular,":[18],"two-level":[20],"hierarchical":[21],"recurrent":[22,71],"network":[24],"is":[25],"introduced":[26],"learn":[28],"context":[30,60,100],"representation":[31],"of":[32,70,82,93],"individual":[33],"queries,":[34],"tasks,":[36],"corresponding":[38],"dependency":[39,56],"structure":[40,57],"by":[41],"jointly":[42],"optimizing":[43],"two":[44],"companion":[45],"tasks:":[47],"document":[48],"query":[51],"suggestion.":[52],"To":[53],"identify":[54],"variable":[55],"between":[58],"ongoing":[63],"activities,":[65],"attention":[66],"at":[67],"both":[68],"levels":[69],"states":[72],"are":[73],"introduced.":[74],"Extensive":[75],"experiment":[76],"comparisons":[77],"against":[78],"rich":[80],"set":[81],"baseline":[83],"methods":[84],"an":[86],"in-depth":[87],"ablation":[88],"analysis":[89],"confirm":[90],"the":[91],"value":[92],"our":[94],"proposed":[95],"approach":[96],"for":[97],"modeling":[98],"buried":[101],"in":[102],"tasks.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}