{"id":"https://openalex.org/W2160555926","doi":"https://doi.org/10.1145/1277741.1277784","title":"Random walks on the click graph","display_name":"Random walks on the click graph","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2160555926","doi":"https://doi.org/10.1145/1277741.1277784","mag":"2160555926"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual 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/A5055132321","display_name":"Nick Craswell","orcid":"https://orcid.org/0000-0002-9351-8137"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nick Craswell","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043531170","display_name":"Martin Szummer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Martin Szummer","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055132321"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":41.0967,"has_fulltext":false,"cited_by_count":448,"citation_normalized_percentile":{"value":0.99883856,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"239","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/random-walk","display_name":"Random walk","score":0.8600749969482422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7342966794967651},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6665569543838501},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6300742626190186},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5485808849334717},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5213255286216736},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48401662707328796},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4634113013744354},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4275892972946167},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39688900113105774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.328332781791687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20605438947677612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20006439089775085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12833711504936218},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09821206331253052}],"concepts":[{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.8600749969482422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342966794967651},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6665569543838501},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6300742626190186},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5485808849334717},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5213255286216736},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48401662707328796},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4634113013744354},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4275892972946167},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39688900113105774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.328332781791687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20605438947677612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20006439089775085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12833711504936218},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09821206331253052},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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:10.1145/1277741.1277784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual 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":18,"referenced_works":["https://openalex.org/W79946180","https://openalex.org/W1972645849","https://openalex.org/W1973867972","https://openalex.org/W2047221353","https://openalex.org/W2068905009","https://openalex.org/W2099391294","https://openalex.org/W2121947440","https://openalex.org/W2122837498","https://openalex.org/W2123937625","https://openalex.org/W2125771191","https://openalex.org/W2127086485","https://openalex.org/W2129235726","https://openalex.org/W2146442558","https://openalex.org/W2152314154","https://openalex.org/W2170121748","https://openalex.org/W2613433911","https://openalex.org/W4243333943","https://openalex.org/W6603267525"],"related_works":["https://openalex.org/W1597743604","https://openalex.org/W2038723108","https://openalex.org/W2033630974","https://openalex.org/W4245069437","https://openalex.org/W2325737604","https://openalex.org/W4297449606","https://openalex.org/W2188500270","https://openalex.org/W2382333285","https://openalex.org/W2303858293","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Search":[0],"engines":[1],"can":[2],"record":[3],"which":[4,9],"documents":[5,51,68],"were":[6],"clicked":[7,74],"for":[8,52,75],"query,":[10],"and":[11,30,78,109],"use":[12],"these":[13],"query-document":[14],"pairs":[15],"as":[16,106],"\"soft\"":[17],"relevance":[18,32],"judgments.":[19],"However,":[20],"compared":[21],"to":[22,41,65,97],"the":[23,60],"true":[24],"judgments,":[25],"click":[26,44,86],"logs":[27,87],"give":[28],"noisy":[29],"sparse":[31],"information.":[33],"We":[34,82],"apply":[35],"a":[36,42,47,53,98,117],"Markov":[37],"random":[38,94,101],"walk":[39,95,107,120],"model":[40,61,96],"large":[43],"log,":[45],"producing":[46],"probabilistic":[48],"ranking":[49],"of":[50,59],"given":[54],"query.":[55],"A":[56],"key":[57],"advantage":[58],"is":[62,116],"its":[63],"ability":[64],"retrieve":[66],"relevant":[67],"that":[69,76],"have":[70],"not":[71],"yet":[72],"been":[73],"query":[77],"rank":[79],"those":[80],"effectively.":[81],"conduct":[83],"experiments":[84],"on":[85],"from":[88],"image":[89],"search,":[90],"comparing":[91],"our":[92],"(\"backward\")":[93],"different":[99],"(\"forward\")":[100],"walk,":[102],"varying":[103],"parameters":[104],"such":[105],"length":[108],"self-transition":[110,123],"probability.":[111,124],"The":[112],"most":[113],"effective":[114],"combination":[115],"long":[118],"backward":[119],"with":[121],"high":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":42},{"year":2014,"cited_by_count":38},{"year":2013,"cited_by_count":39},{"year":2012,"cited_by_count":38}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
