{"id":"https://openalex.org/W2955195091","doi":"https://doi.org/10.1145/3331184.3331286","title":"Query-Task Mapping","display_name":"Query-Task Mapping","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2955195091","doi":"https://doi.org/10.1145/3331184.3331286","mag":"2955195091"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331286","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331286","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037682495","display_name":"Michael V\u00f6lske","orcid":"https://orcid.org/0000-0002-9283-6846"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael V\u00f6lske","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074768665","display_name":"Ehsan Fatehifar","orcid":null},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ehsan Fatehifar","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027915931","display_name":"Benno Stein","orcid":"https://orcid.org/0000-0001-9033-2217"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benno Stein","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014322854","display_name":"Matthias Hagen","orcid":"https://orcid.org/0000-0002-9733-2890"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Hagen","raw_affiliation_strings":["Martin-Luther-Universit\u00e4t Halle-Wittenberg, Halle (Saale), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Martin-Luther-Universit\u00e4t Halle-Wittenberg, Halle (Saale), Germany","institution_ids":["https://openalex.org/I68956291"]}]}],"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":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"969","last_page":"972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9940000176429749,"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":0.84571772813797},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.599240779876709},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.5470997095108032},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5232052803039551},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5051916241645813},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.49583014845848083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47512227296829224},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4750123918056488},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4519117772579193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2795927822589874},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12724775075912476},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.061335623264312744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.84571772813797},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.599240779876709},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.5470997095108032},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5232052803039551},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5051916241645813},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.49583014845848083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47512227296829224},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4750123918056488},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4519117772579193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2795927822589874},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12724775075912476},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.061335623264312744},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3331184.3331286","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331286","pdf_url":null,"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W11588862","https://openalex.org/W658020064","https://openalex.org/W1609424028","https://openalex.org/W1646006088","https://openalex.org/W1972882261","https://openalex.org/W1975409939","https://openalex.org/W1978365874","https://openalex.org/W1982858363","https://openalex.org/W1987396411","https://openalex.org/W1992698018","https://openalex.org/W1994305268","https://openalex.org/W2016995838","https://openalex.org/W2067728224","https://openalex.org/W2099513082","https://openalex.org/W2104255729","https://openalex.org/W2112769706","https://openalex.org/W2113363259","https://openalex.org/W2116938310","https://openalex.org/W2117079628","https://openalex.org/W2122099685","https://openalex.org/W2130707402","https://openalex.org/W2138862413","https://openalex.org/W2148781362","https://openalex.org/W2156109108","https://openalex.org/W2319424654","https://openalex.org/W2328123515","https://openalex.org/W2472043752","https://openalex.org/W2621525845","https://openalex.org/W2767480513","https://openalex.org/W3105979796"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2947721150","https://openalex.org/W2894231409","https://openalex.org/W3127365535","https://openalex.org/W2995297654"],"abstract_inverted_index":{"Several":[0],"recent":[1],"task-based":[2],"search":[3],"studies":[4],"aim":[5],"at":[6],"splitting":[7],"query":[8,31,48],"logs":[9],"into":[10],"sets":[11],"of":[12,51],"queries":[13],"for":[14,45],"the":[15,23,52,99],"same":[16],"task":[17,35],"or":[18],"information":[19],"need.":[20],"We":[21],"address":[22],"natural":[24],"next":[25],"step:":[26],"mapping":[27,43,73],"a":[28,56,76,86,107],"currently":[29],"submitted":[30],"to":[32],"an":[33,37,91],"appropriate":[34],"in":[36,85],"already":[38],"task-split":[39],"log.":[40],"This":[41],"query-task":[42,72],"can,":[44],"instance,":[46],"enhance":[47],"suggestions---rendering":[49],"efficiency":[50],"mapping,":[53],"besides":[54],"accuracy,":[55],"key":[57],"objective.":[58],"Our":[59],"main":[60],"contributions":[61],"are":[62],"three":[63],"large":[64],"benchmark":[65],"datasets":[66],"and":[67,89,101],"preliminary":[68],"experiments":[69,96],"with":[70],"four":[71],"approaches:":[74],"(1)":[75],"Trie-based":[77],"approach,":[78],"(2)":[79],"MinHash~LSH,":[80],"(3)":[81],"word":[82],"movers":[83],"distance":[84],"Word2Vec":[87],"setup,":[88],"(4)":[90],"inverted":[92,103],"index-based":[93,104],"approach.":[94],"The":[95],"show":[97],"that":[98],"fast":[100],"accurate":[102],"method":[105],"forms":[106],"strong":[108],"baseline.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-07-12T00:00:00"}
