{"id":"https://openalex.org/W2041369648","doi":"https://doi.org/10.1145/2063576.2063904","title":"Inferring query aspects from reformulations using clustering","display_name":"Inferring query aspects from reformulations using clustering","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2041369648","doi":"https://doi.org/10.1145/2063576.2063904","mag":"2041369648"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","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/A5050242881","display_name":"Van Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Van Dang","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA, USA","University Of Massachusetts Amherst, Amherst, MA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University Of Massachusetts Amherst, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064803520","display_name":"Xiaobing Xue","orcid":"https://orcid.org/0009-0002-2717-947X"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobing Xue","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA, USA","University Of Massachusetts Amherst, Amherst, MA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University Of Massachusetts Amherst, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105659698","display_name":"W. Bruce Croft","orcid":"https://orcid.org/0000-0003-2391-9629"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Bruce Croft","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA, USA","University Of Massachusetts Amherst, Amherst, MA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University Of Massachusetts Amherst, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050242881"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":6.6506,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96329669,"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":"2117","last_page":"2120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","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/T12016","display_name":"Web Data Mining and Analysis","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/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"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/T10215","display_name":"Semantic Web and Ontologies","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":0.8697853088378906},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.7017320394515991},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6911285519599915},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6570720672607422},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.6538110375404358},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6264906525611877},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.6160427331924438},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.5598569512367249},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.5047296285629272},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.47387930750846863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4539416432380676},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43198734521865845},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2534414231777191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16289043426513672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8697853088378906},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.7017320394515991},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6911285519599915},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6570720672607422},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.6538110375404358},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6264906525611877},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.6160427331924438},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5598569512367249},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.5047296285629272},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.47387930750846863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4539416432380676},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43198734521865845},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2534414231777191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16289043426513672},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2063576.2063904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","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":17,"referenced_works":["https://openalex.org/W1993320088","https://openalex.org/W2023188792","https://openalex.org/W2037098674","https://openalex.org/W2080825533","https://openalex.org/W2083305840","https://openalex.org/W2091808810","https://openalex.org/W2100419635","https://openalex.org/W2104373244","https://openalex.org/W2117955471","https://openalex.org/W2147057843","https://openalex.org/W2169213601","https://openalex.org/W2170741935","https://openalex.org/W2184854861","https://openalex.org/W2197919320","https://openalex.org/W3138773240","https://openalex.org/W4230624213","https://openalex.org/W4246858749"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W2146885082","https://openalex.org/W2017989738","https://openalex.org/W1981131819","https://openalex.org/W2392799717","https://openalex.org/W3125756434","https://openalex.org/W2124814993","https://openalex.org/W906795786"],"abstract_inverted_index":{"When":[0],"the":[1,8,25,32,36,69,75,80],"information":[2],"need":[3,38],"is":[4],"not":[5],"clear":[6],"from":[7,56],"user":[9],"query,":[10],"a":[11],"good":[12],"strategy":[13],"would":[14],"be":[15,40,120],"to":[16,39,48,64,122],"return":[17],"documents":[18],"that":[19,74,117],"cover":[20],"as":[21,27],"many":[22],"aspects":[23,34],"of":[24,35,68,92,114],"query":[26,37],"possible.":[28],"To":[29],"do":[30,49],"this,":[31],"possible":[33],"automatically":[41,76],"identified.":[42],"In":[43],"this":[44,50],"paper,":[45],"we":[46],"propose":[47],"by":[51,96],"clustering":[52,101],"reformulated":[53],"queries":[54,84,94],"generated":[55,77],"publicly":[57],"available":[58],"resources":[59],"and":[60],"using":[61,102],"each":[62],"cluster":[63],"represent":[65],"an":[66],"aspect":[67],"query.":[70],"Our":[71],"results":[72],"show":[73],"reformulations":[78],"for":[79],"TREC":[81,97],"Web":[82],"Track":[83],"match":[85],"up":[86],"quite":[87],"well":[88],"with":[89],"actual":[90],"sub-topics":[91],"these":[93],"identified":[95],"experts.":[98],"Moreover,":[99],"agglomerative":[100],"query-to-query":[103],"similarity":[104],"based":[105],"on":[106],"co-occurrence":[107],"in":[108],"text":[109],"passages":[110],"can":[111,119],"provide":[112],"clusters":[113],"high":[115],"quality":[116],"potentially":[118],"used":[121],"identify":[123],"aspects.":[124]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}