{"id":"https://openalex.org/W2336343120","doi":"https://doi.org/10.1145/2911451.2911497","title":"Evaluating Search Result Diversity using Intent Hierarchies","display_name":"Evaluating Search Result Diversity using Intent Hierarchies","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2336343120","doi":"https://doi.org/10.1145/2911451.2911497","mag":"2336343120"},"language":"en","primary_location":{"id":"doi:10.1145/2911451.2911497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","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/A5100351306","display_name":"Xiaojie Wang","orcid":"https://orcid.org/0000-0003-2565-5831"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojie Wang","raw_affiliation_strings":["Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010558184","display_name":"Zhicheng Dou","orcid":"https://orcid.org/0000-0002-9781-948X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Dou","raw_affiliation_strings":["Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China &amp; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023595778","display_name":"Tetsuya Sakai","orcid":"https://orcid.org/0000-0002-6720-963X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Sakai","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Renmin University of China, Beijing Key Laboratory of Big Data Management &amp; MOE, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing Key Laboratory of Big Data Management &amp; MOE, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100351306"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":10.6156,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98066303,"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":"415","last_page":"424"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.996399998664856,"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":0.9778000116348267,"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/discriminative-model","display_name":"Discriminative model","score":0.7598104476928711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181415557861328},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7135807275772095},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5762865543365479},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.5718590617179871},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.43493467569351196},{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.4318265914916992},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35507315397262573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26223620772361755}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7598104476928711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181415557861328},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7135807275772095},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5762865543365479},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5718590617179871},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.43493467569351196},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.4318265914916992},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35507315397262573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26223620772361755},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2911451.2911497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2911497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W94637519","https://openalex.org/W107810311","https://openalex.org/W1498594556","https://openalex.org/W1546477643","https://openalex.org/W1584638542","https://openalex.org/W1966835268","https://openalex.org/W1968518318","https://openalex.org/W1973296628","https://openalex.org/W1982889956","https://openalex.org/W1985514943","https://openalex.org/W1985554184","https://openalex.org/W1988619666","https://openalex.org/W1993320088","https://openalex.org/W2017292914","https://openalex.org/W2023188792","https://openalex.org/W2026430213","https://openalex.org/W2026439336","https://openalex.org/W2037098674","https://openalex.org/W2058624977","https://openalex.org/W2058896506","https://openalex.org/W2083305840","https://openalex.org/W2100419635","https://openalex.org/W2113640060","https://openalex.org/W2132314908","https://openalex.org/W2148367931","https://openalex.org/W2154724067","https://openalex.org/W2157391629","https://openalex.org/W2168717408","https://openalex.org/W2197919320","https://openalex.org/W2408005573","https://openalex.org/W3013019162","https://openalex.org/W3138773240","https://openalex.org/W4230624213","https://openalex.org/W4251560691","https://openalex.org/W6603899496","https://openalex.org/W6646664084"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Search":[0],"result":[1],"diversification":[2],"aims":[3],"at":[4],"returning":[5],"diversified":[6],"document":[7],"lists":[8,109],"to":[9,46,125],"cover":[10],"different":[11],"user":[12,24],"intents":[13,25],"for":[14],"ambiguous":[15],"or":[16,28,146],"broad":[17],"queries.":[18],"Existing":[19],"diversity":[20,87,145,168],"measures":[21,60,74,97,106,121,138,150],"assume":[22],"that":[23,61],"are":[26,98,122,139,156],"independent":[27],"exclusive,":[29],"and":[30,102,169],"do":[31],"not":[32],"consider":[33,63],"the":[34,37,48,64,70,114,152,162],"relationships":[35,49,65],"among":[36,50,66],"intents.":[38,51,67],"In":[39],"this":[40],"paper,":[41],"we":[42,56],"introduce":[43],"intent":[44,54,118,154],"hierarchies":[45,155],"model":[47],"Based":[52],"on":[53,82],"hierarchies,":[55,119],"propose":[57],"several":[58],"hierarchical":[59,73,120,149],"can":[62,129],"We":[68],"demonstrate":[69],"feasibility":[71],"of":[72,110,144,167],"by":[75],"using":[76,107,151,161],"a":[77],"new":[78],"test":[79,88],"collection":[80],"based":[81],"TREC":[83],"Web":[84],"Track":[85],"2009-2013":[86],"collections.":[89],"Our":[90],"main":[91],"experimental":[92],"findings":[93],"are:":[94],"(1)":[95],"Hierarchical":[96,137],"generally":[99],"more":[100,131,140,157],"discriminative":[101,134],"intuitive":[103,141,158],"than":[104,159],"existing":[105,126],"flat":[108],"intents;":[111],"(2)":[112],"When":[113],"queries":[115],"have":[116],"multilayer":[117],"less":[123],"correlated":[124],"measures,":[127],"but":[128],"get":[130],"improvement":[132],"in":[133,142,165],"power;":[135],"(3)":[136],"terms":[143,166],"relevance.":[147,170],"The":[148],"whole":[153],"only":[160],"leaf":[163],"nodes":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
