{"id":"https://openalex.org/W2102914327","doi":"https://doi.org/10.1145/1277741.1277823","title":"Hits on the web","display_name":"Hits on the web","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2102914327","doi":"https://doi.org/10.1145/1277741.1277823","mag":"2102914327"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277823","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/A5037200145","display_name":"Marc Najork","orcid":"https://orcid.org/0000-0003-1423-0854"},"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":"Marc A. Najork","raw_affiliation_strings":["Microsoft Research, Mountain View, CA","[Microsoft Research, Mountain View, CA]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Mountain View, CA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research, Mountain View, CA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086495684","display_name":"Hugo Zaragoza","orcid":null},"institutions":[{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hugo Zaragoza","raw_affiliation_strings":["Yahoo! Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Barcelona, Spain","institution_ids":["https://openalex.org/I2800095910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043237258","display_name":"Michael Taylor","orcid":"https://orcid.org/0000-0002-3473-3478"},"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"]},{"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":["GB","US"],"is_corresponding":false,"raw_author_name":"Michael J. Taylor","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037200145"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":24.9384,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.99355866,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9976999759674072,"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":0.9976999759674072,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8032199144363403},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7158055305480957},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6625258922576904},{"id":"https://openalex.org/keywords/hyperlink","display_name":"Hyperlink","score":0.6405405402183533},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.6288268566131592},{"id":"https://openalex.org/keywords/hits-algorithm","display_name":"HITS algorithm","score":0.6050244569778442},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.600340723991394},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.5957385301589966},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5602819919586182},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.5454696416854858},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5289350152015686},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.508647084236145},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4846106469631195},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42149463295936584},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.4042857885360718},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.39061886072158813},{"id":"https://openalex.org/keywords/web-search-engine","display_name":"Web search engine","score":0.3503801226615906},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1925784945487976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11492007970809937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8032199144363403},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7158055305480957},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6625258922576904},{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.6405405402183533},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6288268566131592},{"id":"https://openalex.org/C195409031","wikidata":"https://www.wikidata.org/wiki/Q1031957","display_name":"HITS algorithm","level":5,"score":0.6050244569778442},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.600340723991394},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.5957385301589966},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5602819919586182},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.5454696416854858},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5289350152015686},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.508647084236145},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4846106469631195},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42149463295936584},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.4042857885360718},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.39061886072158813},{"id":"https://openalex.org/C521815418","wikidata":"https://www.wikidata.org/wiki/Q4182287","display_name":"Web search engine","level":4,"score":0.3503801226615906},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1925784945487976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11492007970809937},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277823","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":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W131411689","https://openalex.org/W135168798","https://openalex.org/W1738091461","https://openalex.org/W1845137714","https://openalex.org/W1854214752","https://openalex.org/W1964579932","https://openalex.org/W1970859146","https://openalex.org/W2014478203","https://openalex.org/W2026875114","https://openalex.org/W2053549370","https://openalex.org/W2066636486","https://openalex.org/W2069870183","https://openalex.org/W2073853190","https://openalex.org/W2089199911","https://openalex.org/W2111289574","https://openalex.org/W2138621811","https://openalex.org/W2141075029","https://openalex.org/W2143331230","https://openalex.org/W2160885631","https://openalex.org/W2161118554","https://openalex.org/W2166227910","https://openalex.org/W2169270715","https://openalex.org/W2293888960"],"related_works":["https://openalex.org/W2380608531","https://openalex.org/W2059631619","https://openalex.org/W2536749602","https://openalex.org/W2542162642","https://openalex.org/W1558012608","https://openalex.org/W1502175497","https://openalex.org/W2183307257","https://openalex.org/W2126097074","https://openalex.org/W2284884870","https://openalex.org/W2942511815"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,23,64,84,91],"large-scale":[4],"evaluation":[5,56],"of":[6,9,68,86,103,129,151],"the":[7,40,44,49,130,136,143,149],"effectiveness":[8,34,150],"HITS":[10,112],"in":[11,20],"comparison":[12],"with":[13,22,135],"other":[14],"link-based":[15,131,157],"ranking":[16],"algorithms,":[17],"when":[18,127],"used":[19],"combination":[21],"state-of-the-art":[24],"text":[25,137],"retrieval":[26,138],"algorithm":[27],"exploiting":[28],"anchor":[29],"text.":[30],"We":[31,109],"quantified":[32],"their":[33],"using":[35],"three":[36],"common":[37],"performance":[38],"measures:":[39],"mean":[41,45],"reciprocal":[42],"rank,":[43],"average":[46,98],"precision,":[47],"and":[48,77,83,148,154],"normalized":[50],"discounted":[51],"cumulative":[52],"gain":[53],"measurements.":[54],"The":[55,123],"is":[57,116],"based":[58],"on":[59,97],"two":[60],"large":[61],"data":[62],"sets:":[63],"breadth-first":[65],"search":[66],"crawl":[67],"463":[69],"million":[70],"web":[71],"pages":[72],"containing":[73],"17.6":[74],"billion":[75,80],"hyperlinks":[76],"referencing":[78],"2.9":[79],"distinct":[81],"URLs;":[82],"set":[85],"28,043":[87],"queries":[88],"sampled":[89],"from":[90],"query":[92,95,146],"log,":[93],"each":[94],"having":[96],"2,383":[99],"results,":[100],"about":[101,117],"17":[102],"which":[104],"were":[105],"labeled":[106],"by":[107],"judges.":[108],"found":[110,155],"that":[111,156],"outperforms":[113],"PageRank,":[114],"but":[115],"as":[118,120],"effective":[119],"web-page":[121],"in-degree.":[122],"same":[124],"holds":[125],"true":[126],"any":[128],"features":[132,158],"are":[133],"combined":[134],"algorithm.":[139],"Finally,":[140],"we":[141],"studied":[142],"relationship":[144],"between":[145],"specificity":[147],"selected":[152],"features,":[153],"perform":[159],"better":[160,167],"for":[161,168],"general":[162],"queries,":[163],"whereas":[164],"BM25F":[165],"performs":[166],"specific":[169],"queries.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":10}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
