{"id":"https://openalex.org/W2429924082","doi":null,"title":"Improving the relevance of web search results by combining web snippet categorization, clustering and personalization","display_name":"Improving the relevance of web search results by combining web snippet categorization, clustering and personalization","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2429924082","mag":"2429924082"},"language":"en","primary_location":{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/326","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/326","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5103149159","display_name":"Dengya Zhu","orcid":"https://orcid.org/0000-0003-0818-437X","observed_orcids":["https://orcid.org/0000-0003-0818-437X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dengya Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5103149159"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9779999852180481,"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":0.9779999852180481,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.019700000062584877,"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":0.0010999999940395355,"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/web-snippets","display_name":"web snippets","score":0.6859999895095825},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.8579999804496765},{"id":"https://openalex.org/keywords/document-clustering","display_name":"document clustering","score":0.9879999756813049},{"id":"https://openalex.org/keywords/personalized-search","display_name":"personalized search","score":0.6970000267028809},{"id":"https://openalex.org/keywords/open-directory-project","display_name":"Open Directory Project","score":0.7710000276565552},{"id":"https://openalex.org/keywords/user-profile-generation","display_name":"user profile generation","score":0.5899999737739563},{"id":"https://openalex.org/keywords/boosting","display_name":"boosting","score":0.5339999794960022},{"id":"https://openalex.org/keywords/search-result-re-ranking","display_name":"search result re-ranking","score":0.5440000295639038},{"id":"https://openalex.org/keywords/information-overload","display_name":"information overload","score":0.6320000290870667},{"id":"https://openalex.org/keywords/mean-average-precision","display_name":"mean average precision","score":0.5820000171661377},{"id":"https://openalex.org/keywords/adjusted-rand-index","display_name":"adjusted Rand index","score":0.625},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.8330000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688301801681519},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7666657567024231},{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.6445633769035339},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.626727819442749},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6126297116279602},{"id":"https://openalex.org/C2776945383","wikidata":"https://www.wikidata.org/wiki/Q7170667","display_name":"Personalized search","level":3,"score":0.5779018402099609},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5477319955825806},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.5168712139129639},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5037052035331726},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.49025776982307434},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.42480647563934326},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.41812625527381897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2479998767375946},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/326","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/326","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"pmh:oai:figshare.com:article/31453351","doi":null,"is_oa":false,"landing_page_url":"https://figshare.com/articles/thesis/Improving_the_relevance_of_web_search_results_by_combining_web_snippet_categorization_clustering_and_personalization/31453351","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:2429924082","doi":null,"is_oa":false,"landing_page_url":"https://espace.curtin.edu.au/handle/20.500.11937/326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":180,"referenced_works":["https://openalex.org/W43277997","https://openalex.org/W53188351","https://openalex.org/W54673942","https://openalex.org/W56565505","https://openalex.org/W67881473","https://openalex.org/W92260367","https://openalex.org/W139044672","https://openalex.org/W142931809","https://openalex.org/W307001534","https://openalex.org/W602120815","https://openalex.org/W1482260847","https://openalex.org/W1486632395","https://openalex.org/W1487445520","https://openalex.org/W1490488263","https://openalex.org/W1493526108","https://openalex.org/W1502275721","https://openalex.org/W1506845741","https://openalex.org/W1510073064","https://openalex.org/W1515087027","https://openalex.org/W1520252399","https://openalex.org/W1522529670","https://openalex.org/W1523389133","https://openalex.org/W1523794535","https://openalex.org/W1532325895","https://openalex.org/W1533930991","https://openalex.org/W1535019131","https://openalex.org/W1548779692","https://openalex.org/W1555648035","https://openalex.org/W1558901573","https://openalex.org/W1558935393","https://openalex.org/W1563088657","https://openalex.org/W1570709650","https://openalex.org/W1570944911","https://openalex.org/W1576676390","https://openalex.org/W1584023832","https://openalex.org/W1587987600","https://openalex.org/W1590246454","https://openalex.org/W1593045043","https://openalex.org/W1595613095","https://openalex.org/W1600036847","https://openalex.org/W1605688901","https://openalex.org/W1672197616","https://openalex.org/W1673075472","https://openalex.org/W1730404227","https://openalex.org/W1771285184","https://openalex.org/W1877944802","https://openalex.org/W1924689489","https://openalex.org/W1965893683","https://openalex.org/W1967635344","https://openalex.org/W1969196551","https://openalex.org/W1969572066","https://openalex.org/W1972640883","https://openalex.org/W1972644898","https://openalex.org/W1973041621","https://openalex.org/W1973682096","https://openalex.org/W1976420489","https://openalex.org/W1978394996","https://openalex.org/W1979648751","https://openalex.org/W1981257123","https://openalex.org/W1981745143","https://openalex.org/W1981851766","https://openalex.org/W1983078185","https://openalex.org/W1984195611","https://openalex.org/W1985690171","https://openalex.org/W1987233790","https://openalex.org/W1992419399","https://openalex.org/W1994199095","https://openalex.org/W1995006095","https://openalex.org/W1996764654","https://openalex.org/W1999337483","https://openalex.org/W2000063474","https://openalex.org/W2002675557","https://openalex.org/W2004737172","https://openalex.org/W2005422315","https://openalex.org/W2008056655","https://openalex.org/W2008941900","https://openalex.org/W2011430131","https://openalex.org/W2014351296","https://openalex.org/W2019363670","https://openalex.org/W2023408138","https://openalex.org/W2024228866","https://openalex.org/W2029296527","https://openalex.org/W2030646297","https://openalex.org/W2032026767","https://openalex.org/W2047588761","https://openalex.org/W2048987619","https://openalex.org/W2049384587","https://openalex.org/W2049633694","https://openalex.org/W2059586463","https://openalex.org/W2067018993","https://openalex.org/W2067472300","https://openalex.org/W2069153192","https://openalex.org/W2071098104","https://openalex.org/W2073722401","https://openalex.org/W2074449313","https://openalex.org/W2076118331","https://openalex.org/W2078896301","https://openalex.org/W2086298942","https://openalex.org/W2086511124","https://openalex.org/W2087402803","https://openalex.org/W2087609354","https://openalex.org/W2090412568","https://openalex.org/W2090634555","https://openalex.org/W2090697566","https://openalex.org/W2092488901","https://openalex.org/W2093432797","https://openalex.org/W2094934653","https://openalex.org/W2095368471","https://openalex.org/W2095478124","https://openalex.org/W2096658177","https://openalex.org/W2098162425","https://openalex.org/W2100074460","https://openalex.org/W2101154521","https://openalex.org/W2103333826","https://openalex.org/W2104500038","https://openalex.org/W2104890789","https://openalex.org/W2105895401","https://openalex.org/W2107079154","https://openalex.org/W2110264407","https://openalex.org/W2110441437","https://openalex.org/W2111989555","https://openalex.org/W2112175905","https://openalex.org/W2113043986","https://openalex.org/W2114535528","https://openalex.org/W2115571269","https://openalex.org/W2118020653","https://openalex.org/W2120270710","https://openalex.org/W2123649031","https://openalex.org/W2124756613","https://openalex.org/W2127218421","https://openalex.org/W2128728535","https://openalex.org/W2129877315","https://openalex.org/W2130858665","https://openalex.org/W2131904442","https://openalex.org/W2132605240","https://openalex.org/W2133109597","https://openalex.org/W2134834365","https://openalex.org/W2136542423","https://openalex.org/W2136583886","https://openalex.org/W2137528489","https://openalex.org/W2138570191","https://openalex.org/W2140190241","https://openalex.org/W2141062075","https://openalex.org/W2141734078","https://openalex.org/W2142515059","https://openalex.org/W2143079043","https://openalex.org/W2145073242","https://openalex.org/W2145734075","https://openalex.org/W2147152072","https://openalex.org/W2147823173","https://openalex.org/W2149202473","https://openalex.org/W2150102617","https://openalex.org/W2150347588","https://openalex.org/W2152311353","https://openalex.org/W2153142155","https://openalex.org/W2153211312","https://openalex.org/W2154268750","https://openalex.org/W2158997610","https://openalex.org/W2160484851","https://openalex.org/W2161563551","https://openalex.org/W2162993204","https://openalex.org/W2165533158","https://openalex.org/W2165612380","https://openalex.org/W2165897980","https://openalex.org/W2168020168","https://openalex.org/W2168717408","https://openalex.org/W2168859760","https://openalex.org/W2170714116","https://openalex.org/W2309995643","https://openalex.org/W2344069946","https://openalex.org/W2423784265","https://openalex.org/W2435251607","https://openalex.org/W2498503053","https://openalex.org/W2504358129","https://openalex.org/W2504358273","https://openalex.org/W2752128027","https://openalex.org/W3193477162","https://openalex.org/W3216584063","https://openalex.org/W4231451799","https://openalex.org/W4245322178"],"related_works":["https://openalex.org/W1548544263","https://openalex.org/W7132717734","https://openalex.org/W1582782520","https://openalex.org/W7097422226","https://openalex.org/W2029177418","https://openalex.org/W7096895957","https://openalex.org/W7095146715","https://openalex.org/W2388896833","https://openalex.org/W2899488369","https://openalex.org/W2110441437"],"abstract_inverted_index":{"Web":[0,51,55,153,183,205,225,257,263,297,362,371,421,512,719,831],"search":[1,38,42,52,157,206,216,237,310,339,344,747,848,859,867],"results":[2,21,43,207,235,345,410,807,860],"are":[3,64,122,282,299,557,587,630,650,678,818],"far":[4],"from":[5,156,324,375,444,460],"perfect":[6],"due":[7],"to":[8,40,68,81,115,125,136,200,232,236,284,301,346,379,392,437,446,462,487,498,521,535,559,589,703,819,838,845,850],"the":[9,20,26,29,70,106,109,132,138,161,177,202,211,222,243,267,274,278,293,296,303,306,329,332,337,352,394,401,417,465,468,490,546,561,652,658,663,683,701,705,709,712,714,723,743,784,795,806,815,828,865],"polysemous":[10],"and":[11,28,62,127,166,192,208,229,406,424,432,489,515,567,601,611,617,627,648,656,674,757,761,789,812,843,855],"synonymous":[12],"characteristics":[13,276,531],"of":[14,22,37,59,78,163,176,182,196,204,277,288,305,331,357,377,381,396,403,419,428,441,453,457,472,476,480,492,501,503,532,539,563,575,660,665,711,759,767,797,808,825,830,861],"nature":[15],"languages,":[16],"information":[17,23,49,322,335,544,707,775,799],"overload":[18],"as":[19,266,517,552,609,622,672,738],"explosion":[24],"on":[25,46,309,366,634,805],"Web,":[27],"flat":[30],"list,":[31],"\u201cone":[32],"size":[33],"fits":[34],"all\u201d":[35],"strategies":[36],"engines":[39,748],"present":[41,704],"without":[44],"concentrating":[45],"user":[47,212,314,325,333],"personal":[48,326],"needs.Re-organizing":[50],"results,":[53],"or":[54],"snippets,":[56],"by":[57,100,320,399,528,681,721],"means":[58],"text":[60,95,148,190,397,404,523,569,605,666,840],"categorization":[61,74,116,191,398,423,514,570,606],"clustering":[63,96,228,405,425,669,842],"two":[65,726,816],"dominant":[66],"approaches":[67],"attack":[69],"issues":[71,500],"above.":[72],"Text":[73,668],"uses":[75],"a":[76,83,152,164,214,260,286,313,537,573,635,764],"collection":[77,520],"labeled":[79,119,289,504,540],"documents":[80,99,107,121],"train":[82],"classifier":[84],"which":[85,273,316],"can":[86,414,508],"then":[87],"predict":[88],"labels":[89],"for":[90,147,188,272,334,448,511,742,763],"new":[91],"unlabeled":[92,98],"documents;":[93],"while":[94,134],"groups":[97,140],"finding":[101],"common":[102],"properties":[103],"shared":[104],"among":[105],"in":[108,280,312,389,426,470,690,695,725,823],"same":[110,294,653],"group.":[111],"The":[112,179,554],"issue":[113],"related":[114],"is":[117,141,185,199,317,373,386,435,483,494,526,550,700,736,771,802,833],"human":[118,809],"training":[120],"very":[123,169],"expensive":[124],"obtain":[126],"thus":[128,209],"surprisingly":[129],"scarce":[130],"at":[131,651],"moment;":[133],"how":[135],"label":[137],"generated":[139,319,547,555,684],"still":[142],"an":[143,167,246,798],"open":[144],"research":[145,198,223,241,391,692,699,768,781,836],"question":[146],"clustering.":[149],"In":[150],"addition,":[151,697],"snippet,":[154],"returned":[155],"engines,":[158],"contains":[159],"only":[160],"title":[162],"webpage":[165],"optional":[168],"short":[170],"(less":[171],"than":[172],"30":[173],"words)":[174],"description":[175],"page.":[178],"less-informative":[180],"aspect":[181],"snippets":[184,258,298,372],"another":[186],"challenge":[187],"both":[189,420],"clustering.The":[193],"primary":[194],"objective":[195],"this":[197,220,390,691,698],"improve":[201,393,416],"relevance":[203,790,810,829],"provide":[210,846],"with":[213,328,369,451,478],"better":[215,847],"experience.":[217],"To":[218],"achieve":[219],"objective,":[221],"combines":[224],"snippet":[226,422,513],"categorization,":[227,841],"personalization":[230,844],"techniques":[231],"recommend":[233,342],"relevant":[234],"users.":[238,347,851],"Using":[239],"design":[240],"methodology,":[242],"study":[244],"develops":[245],"IT":[247],"artifact":[248],"named":[249],"RIB":[250,255,358],"\u2013":[251],"Recommender":[252],"Intelligent":[253],"Browser.":[254],"categorizes":[256],"using":[259,321,682],"socially":[261],"constructed":[262],"directory":[264,740],"such":[265,608,621,671,749],"Open":[268],"Directory":[269],"Project":[270],"(ODP)":[271],"semantic":[275,530],"categories":[279,534],"ODP":[281,533,735,777],"extracted":[283,323],"generate":[285,536],"series":[287,538],"document":[290,519],"sets.":[291,542,686],"At":[292],"time,":[295],"clustered":[300],"boost":[302],"quality":[304],"categorization.":[307,667],"Based":[308],"preferences":[311],"profile":[315],"automatically":[318],"computer":[327],"approval":[330],"collection,":[336],"proposed":[338,388,643],"method":[340],"will":[341],"personalized":[343],"Experimental":[348,409],"data":[349,505,548,639,724],"demonstrate":[350,657,864],"that":[351,412,507,814],"mean":[353],"average":[354],"precision":[355,787],"improvement":[356,440,456,469,491,788],"over":[359],"Yahoo":[360,378,862],"Search":[361],"Services":[363],"API":[364,863],"based":[365,615,633,804],"25":[367],"search-terms":[368],"1250":[370],"7.84%,":[374],"55.55%":[376],"64.29%":[380],"RIB.A":[382],"novel":[383],"boostingUp":[384,413],"algorithm":[385,616],"also":[387,631,679],"performance":[395,418,562,664],"leveraging":[400],"power":[402],"vice":[407],"versa.":[408],"illustrate":[411],"marginally":[415],"terms":[427,471,824],"Adjusted":[429,473],"Rand":[430,474],"Index":[431,475],"F[subscript]1.":[433],"BoostingUp":[434],"able":[436],"produce":[438],"0.97%":[439],"macro-averaged":[442],"F[subscript]1":[443,459,493],"24.51%":[445],"25.48%":[447],"Na\u00efve":[449,481,564],"Bayes":[450,482],"combination":[452,479],"K-Means,":[454],"2.04%":[455],"micro-averaged":[458],"32.17%":[461],"34.21%.":[463],"On":[464],"other":[466,642],"hand,":[467],"K-Means":[477,673],"2.35%":[484],"(from":[485,496],"13.17%":[486],"15.52%),":[488],"2.37%":[495],"21.45%":[497],"23.82%).The":[499],"lack":[502],"set":[506],"be":[509],"used":[510,516,558,762],"benchmark":[518],"evaluate":[522,560],"categorization/clustering":[524],"algorithms":[525,571,578,607,620,670,688],"addressed":[527],"extracting":[529],"categoryDocument":[541,685],"Statistical":[543,612],"about":[545,708,776],"sets":[549],"provided":[551],"well.":[553],"categoryDocuments":[556],"Bayes,":[565],"Adaboost,":[566],"kNN":[568],"when":[572,794],"list":[574],"feature":[576,618],"selection":[577,619],"including":[579],"Chi-square,":[580],"Mutual":[581],"Information,":[582],"Information":[583],"Gain,":[584],"Odds":[585],"Ratio,":[586],"employed":[588],"pick":[590],"up":[591],"50,":[592],"80,":[593],"100,":[594],"200,":[595],"300,":[596],"500,1000,":[597],"2000,":[598],"3000,":[599],"5000,":[600],"10000":[602],"features.":[603],"Other":[604],"SVMlight":[610],"Language":[613],"Model":[614],"GSS":[623],"Coefficient,":[624,626],"NGL":[625],"Relevancy":[628],"Score":[629],"evaluated":[632,680,803],"specially":[636],"designed":[637,866],"small":[638],"set.":[640],"Two":[641],"algorithms,":[644],"R[superscript]2Cut":[645],"thresholding":[646],"strategy":[647],"Z-tfidf,":[649],"time":[654],"evaluated,":[655],"ability":[659],"slightly":[661],"improving":[662],"Hierarchical":[675],"Agglomerative":[676],"Clustering":[677],"All":[687],"involved":[689],"were":[693],"implemented":[694],"Java.In":[696],"first":[702],"detailed":[706,773],"hierarchy":[710],"ODP,":[713],"world\u2019s":[715],"most":[716,745],"comprehensive":[717],"human-edited":[718],"directory,":[720],"analyzing":[722],"publicly":[727],"accessible":[728],"files":[729],"under":[730],"Free":[731],"Use":[732],"License.":[733],"Although":[734],"adopted":[737],"core":[739],"services":[741],"World\u2019s":[744],"popular":[746],"Google,":[750],"AOL":[751],"Search,":[752,754],"Netscape":[753],"Lycos,":[755],"HotBot":[756],"hundreds":[758],"other;":[760],"wide":[765],"range":[766],"purposes,":[769],"there":[770],"no":[772],"hierarchical":[774],"published":[778],"so":[779],"far.The":[780],"further":[782],"verifies":[783],"relationship":[785],"between":[786],"judgment":[791],"convergent":[792],"degree":[793],"effectiveness":[796],"retrieval":[800],"system":[801],"judgment;":[811],"reveals":[813],"variables":[817],"some":[820],"extent":[821],"co-related":[822],"correlation":[826],"coefficient.Improving":[827],"searching":[832],"challenging.":[834],"This":[835],"proposes":[837],"combine":[839],"experience":[849],"Comprehensive":[852],"experimental":[853],"evidence":[854],"favorable":[856],"comparisons":[857],"against":[858],"objectives":[868],"have":[869],"been":[870],"achieved.":[871]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
