{"id":"https://openalex.org/W2106404250","doi":"https://doi.org/10.1145/2484028.2484031","title":"Summaries, ranked retrieval and sessions","display_name":"Summaries, ranked retrieval and sessions","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W2106404250","doi":"https://doi.org/10.1145/2484028.2484031","mag":"2106404250"},"language":"en","primary_location":{"id":"doi:10.1145/2484028.2484031","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th 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/A5023595778","display_name":"Tetsuya Sakai","orcid":"https://orcid.org/0000-0002-6720-963X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tetsuya Sakai","raw_affiliation_strings":["MSRA, Beijing, China","MSRA, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"MSRA, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"MSRA, Beijing, China#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010558184","display_name":"Zhicheng Dou","orcid":"https://orcid.org/0000-0002-9781-948X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhicheng Dou","raw_affiliation_strings":["MSRA, Beijing, China","MSRA, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"MSRA, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"MSRA, Beijing, China#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023595778"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":12.9842,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.98648277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"473","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9988999962806702,"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/T11269","display_name":"Algorithms and Data Compression","score":0.991100013256073,"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":0.8310020565986633},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6890819072723389},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6760385036468506},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.576977550983429},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5744975805282593},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.5705385804176331},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5704140663146973},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5188661813735962},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.44989013671875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24025198817253113},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20875313878059387},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1085137128829956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08531326055526733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8310020565986633},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6890819072723389},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6760385036468506},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.576977550983429},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5744975805282593},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.5705385804176331},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5704140663146973},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5188661813735962},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.44989013671875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24025198817253113},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20875313878059387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1085137128829956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08531326055526733},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484028.2484031","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W132343450","https://openalex.org/W1604317414","https://openalex.org/W1965862077","https://openalex.org/W1966835268","https://openalex.org/W1970977883","https://openalex.org/W1974360117","https://openalex.org/W1977301265","https://openalex.org/W1980036597","https://openalex.org/W1987500252","https://openalex.org/W1993320088","https://openalex.org/W1999444901","https://openalex.org/W2017292914","https://openalex.org/W2020728328","https://openalex.org/W2026430213","https://openalex.org/W2029009258","https://openalex.org/W2031858317","https://openalex.org/W2058624977","https://openalex.org/W2058896506","https://openalex.org/W2079701654","https://openalex.org/W2093495945","https://openalex.org/W2100709351","https://openalex.org/W2112329501","https://openalex.org/W2120966432","https://openalex.org/W2123946480","https://openalex.org/W2130076000","https://openalex.org/W2138090731","https://openalex.org/W2154652894","https://openalex.org/W2163632538","https://openalex.org/W2294145134"],"related_works":["https://openalex.org/W170547082","https://openalex.org/W2136735429","https://openalex.org/W2587876411","https://openalex.org/W2358332176","https://openalex.org/W2373577936","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W4221148444","https://openalex.org/W4229950834","https://openalex.org/W4226054107"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,26,30,41,61],"general":[3],"information":[4,65,137],"access":[5,138],"evaluation":[6,48],"framework":[7,23],"that":[8,123],"can":[9,135],"potentially":[10],"handle":[11,136],"summaries,":[12],"ranked":[13,128],"document":[14,82],"lists":[15],"and":[16,44,91,134],"even":[17],"multi":[18],"query":[19],"sessions":[20],"seamlessly.":[21],"Our":[22],"first":[24],"builds":[25],"trailtext":[27],"which":[28],"represents":[29],"concatenation":[31],"of":[32,56,60,64],"all":[33],"the":[34,38,53,58,77,81,93,118,124,127],"texts":[35],"read":[36],"by":[37],"user":[39,125],"during":[40],"search":[42],"session,":[43],"then":[45],"computes":[46],"an":[47],"metric":[49],"called":[50],"U-measure":[51,69,79],"over":[52],"trailtext.":[54,78],"Instead":[55],"discounting":[57],"value":[59],"retrieved":[62],"piece":[63],"based":[66,72],"on":[67,73],"ranks,":[68],"discounts":[70],"it":[71,106,114],"its":[74],"position":[75],"within":[76],"takes":[80],"length":[83],"into":[84],"account":[85],"just":[86],"like":[87],"Time-Biased":[88],"Gain":[89],"(TBG),":[90],"has":[92],"diminishing":[94],"return":[95],"property.":[96],"It":[97],"is":[98,107,115],"therefore":[99],"more":[100,109],"realistic":[101],"than":[102,111,141],"rank-based":[103],"metrics.":[104],"Furthermore,":[105],"arguably":[108],"flexible":[110],"TBG,":[112],"as":[113],"free":[116],"from":[117,130],"linear":[119],"traversal":[120],"assumption":[121],"(i.e.,":[122],"scans":[126],"list":[129],"top":[131],"to":[132],"bottom),":[133],"tasks":[139],"other":[140],"ad":[142],"hoc":[143],"retrieval.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
