{"id":"https://openalex.org/W2891482011","doi":"https://doi.org/10.1145/3289600.3290620","title":"EXS","display_name":"EXS","publication_year":2019,"publication_date":"2019-01-30","ids":{"openalex":"https://openalex.org/W2891482011","doi":"https://doi.org/10.1145/3289600.3290620","mag":"2891482011"},"language":"en","primary_location":{"id":"doi:10.1145/3289600.3290620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3290620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and 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/A5100714939","display_name":"Jaspreet Singh","orcid":"https://orcid.org/0000-0003-4364-2487"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jaspreet Singh","raw_affiliation_strings":["L3S Research Center, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075681290","display_name":"Avishek Anand","orcid":"https://orcid.org/0000-0002-0163-0739"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Avishek Anand","raw_affiliation_strings":["L3S Research Center, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Hannover, Germany","institution_ids":["https://openalex.org/I4210136150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100714939"],"corresponding_institution_ids":["https://openalex.org/I4210136150"],"apc_list":null,"apc_paid":null,"fwci":7.6593,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.97750278,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"770","last_page":"773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9968000054359436,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9915000200271606,"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":0.8755078911781311},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6674239635467529},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6584706902503967},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5214342474937439},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5157142281532288},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.4597032964229584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4562188386917114},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4162844121456146},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.36631298065185547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3372461795806885},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.10155051946640015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8755078911781311},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6674239635467529},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6584706902503967},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5214342474937439},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5157142281532288},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.4597032964229584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4562188386917114},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4162844121456146},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.36631298065185547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3372461795806885},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.10155051946640015},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3289600.3290620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3290620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1989165504","display_name":null,"funder_award_id":"339233","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1996796871","https://openalex.org/W2118022153","https://openalex.org/W2260194779","https://openalex.org/W2282821441","https://openalex.org/W2341132943","https://openalex.org/W2405884322","https://openalex.org/W2510769428","https://openalex.org/W2515351093","https://openalex.org/W2536015822","https://openalex.org/W2594475271","https://openalex.org/W2597603852","https://openalex.org/W2740797857","https://openalex.org/W2788403449","https://openalex.org/W2810605538","https://openalex.org/W2949642875","https://openalex.org/W3101023724","https://openalex.org/W3124792046"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W1572278127","https://openalex.org/W1589134610","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W2798835721","https://openalex.org/W2971071571","https://openalex.org/W2387658907"],"abstract_inverted_index":{"Retrieval":[0],"models":[1,22,39],"in":[2,59],"information":[3],"retrieval":[4,21],"are":[5],"used":[6,18],"to":[7,19,49,56,88,106,123,142],"rank":[8],"documents":[9],"for":[10,55,136],"typically":[11],"under-specified":[12],"queries.":[13],"Today":[14],"machine":[15],"learning":[16],"is":[17,53,82,99,110,119],"learn":[20],"from":[23,66],"click":[24],"logs":[25],"and/or":[26],"relevance":[27],"judgments":[28],"that":[29],"maximizes":[30],"an":[31],"objective":[32],"correlated":[33],"with":[34,92],"user":[35,156],"satisfaction.":[36],"As":[37],"these":[38,144],"become":[40,47],"increasingly":[41],"powerful":[42],"and":[43,64,117,163],"sophisticated,":[44],"they":[45],"also":[46],"harder":[48],"understand.":[50],"Consequently,":[51],"it":[52],"hard":[54],"identify":[57],"artifacts":[58],"training,":[60],"data":[61],"specific":[62],"biases":[63],"intents":[65],"a":[67,83,128,131,150,155],"complex":[68],"trained":[69,76],"model":[70],"like":[71],"neural":[72,161],"rankers":[73,162],"even":[74],"if":[75],"purely":[77],"on":[78],"text":[79],"features.":[80],"EXS":[81,126],"search":[84],"system":[85,151],"designed":[86],"specifically":[87,141],"provide":[89],"its":[90],"users":[91],"insight":[93],"into":[94],"the":[95,100,103,107,124,158],"following":[96],"questions:":[97],"\"What":[98],"intent":[101],"of":[102,130,160,166],"query":[104],"according":[105],"ranker?'',":[108],"\"Why":[109,118],"this":[111,120],"document":[112,121],"ranked":[113],"higher":[114],"than":[115],"another?''":[116],"relevant":[122],"query?''.":[125],"uses":[127],"version":[129],"popular":[132],"posthoc":[133],"explanation":[134],"method":[135],"classifiers":[137],"--":[138],"LIME,":[139],"adapted":[140],"answer":[143],"questions.":[145],"We":[146],"show":[147],"how":[148],"such":[149],"can":[152],"effectively":[153],"help":[154],"understand":[157],"results":[159],"highlight":[164],"areas":[165],"improvement.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":6}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2018-09-27T00:00:00"}