{"id":"https://openalex.org/W2050782125","doi":"https://doi.org/10.1145/1645953.1645980","title":"Ranking model adaptation for domain-specific search","display_name":"Ranking model adaptation for domain-specific search","publication_year":2009,"publication_date":"2009-11-02","ids":{"openalex":"https://openalex.org/W2050782125","doi":"https://doi.org/10.1145/1645953.1645980","mag":"2050782125"},"language":"en","primary_location":{"id":"doi:10.1145/1645953.1645980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1645953.1645980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM conference on Information and knowledge management","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/A5113622064","display_name":"Bo Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Geng","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100860846","display_name":"Linjun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjun Yang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102916885","display_name":"Chao Xu","orcid":"https://orcid.org/0000-0002-6522-0982"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xu","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113622064"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":12.2129,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.98690845,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9929999709129333,"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":0.9929999709129333,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9890999794006348,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9851999878883362,"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":0.7031731605529785},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6988322734832764},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6180456280708313},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6116547584533691},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47735074162483215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3898048996925354},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3200521171092987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13739866018295288},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08268606662750244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031731605529785},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6988322734832764},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6180456280708313},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6116547584533691},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47735074162483215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3898048996925354},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3200521171092987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13739866018295288},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08268606662750244},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1645953.1645980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1645953.1645980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W1592792265","https://openalex.org/W1606936740","https://openalex.org/W1854214752","https://openalex.org/W1907380269","https://openalex.org/W1939597507","https://openalex.org/W1978920452","https://openalex.org/W1981025032","https://openalex.org/W1985514943","https://openalex.org/W1985554184","https://openalex.org/W2032536435","https://openalex.org/W2034368206","https://openalex.org/W2035720976","https://openalex.org/W2047221353","https://openalex.org/W2068905009","https://openalex.org/W2093390569","https://openalex.org/W2103235295","https://openalex.org/W2104290444","https://openalex.org/W2105842272","https://openalex.org/W2108862644","https://openalex.org/W2120708938","https://openalex.org/W2122838776","https://openalex.org/W2124052064","https://openalex.org/W2127176025","https://openalex.org/W2128877075","https://openalex.org/W2129620481","https://openalex.org/W2142537246","https://openalex.org/W2143331230","https://openalex.org/W2146090483","https://openalex.org/W2148603752","https://openalex.org/W2156909104","https://openalex.org/W2158108973","https://openalex.org/W2164641162","https://openalex.org/W2171749496","https://openalex.org/W2205609955","https://openalex.org/W2206012651","https://openalex.org/W2258731219","https://openalex.org/W2988119488","https://openalex.org/W3003665436","https://openalex.org/W4206765718","https://openalex.org/W4239181501","https://openalex.org/W4243333943","https://openalex.org/W4251560691","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2150136235","https://openalex.org/W2026095310","https://openalex.org/W2140661912","https://openalex.org/W2056806613","https://openalex.org/W2153069032","https://openalex.org/W4389474468"],"abstract_inverted_index":{"Recently,":[0],"various":[1],"domain-specific":[2],"search":[3,30,91,228],"engines":[4],"emerge,":[5],"which":[6,157,192],"are":[7,209],"restricted":[8],"to":[9,17,31,40,69,94,121,129,203,241],"specific":[10],"topicalities":[11],"or":[12,62,92,175],"document":[13],"formats,":[14],"and":[15,60,105,118,143,215,256],"vertical":[16],"the":[18,23,28,32,41,63,71,83,95,100,106,112,123,136,140,160,163,169,173,176,187,204,231,242,247,250,257],"broad-based":[19,29],"search.":[20],"Simply":[21],"applying":[22],"ranking":[24,47,84,124,147,165,189,198,232,252,258],"model":[25,85,125,174,199,233,253],"trained":[26],"for":[27,49,55,87,235],"verticals":[33],"cannot":[34],"achieve":[35],"a":[36,130,225],"sound":[37],"performance":[38,113],"due":[39],"domain":[42,51,237],"differences,":[43],"while":[44,111],"building":[45],"different":[46,222],"models":[48],"each":[50],"is":[52,109,115,150,154,184],"both":[53],"laborious":[54],"labeling":[56],"sufficient":[57],"training":[58,64,107],"samples":[59],"time-consuming":[61],"process.":[65],"In":[66],"this":[67],"paper,":[68],"address":[70,135],"above":[72],"difficulties,":[73],"we":[74,80],"investigate":[75],"two":[76,216],"problems:":[77],"(1)":[78],"whether":[79],"can":[81,200],"adapt":[82,122],"learned":[86,234],"existing":[88,164,197],"Web":[89],"page":[90],"verticals,":[93],"new":[96,131,205],"domain,":[97],"so":[98],"that":[99],"amount":[101],"of":[102,172,249],"labeled":[103],"data":[104,177],"cost":[108],"reduced,":[110],"requirement":[114],"still":[116],"satisfied;":[117],"(2)":[119],"how":[120],"from":[126,139,162,178,221],"auxiliary":[127,179],"domains":[128,223],"target":[132],"domain.":[133,206],"We":[134],"second":[137],"problem":[138,183],"regularization":[141],"framework":[142],"an":[144,196],"algorithm":[145,153,255],"called":[146],"adaptation":[148,254],"SVM":[149],"proposed.":[151],"Our":[152],"flexible":[155],"enough,":[156],"needs":[158],"only":[159],"prediction":[161],"model,":[166],"rather":[167],"than":[168],"internal":[170],"representation":[171],"domains.":[180],"The":[181,244],"first":[182],"addressed":[185],"by":[186],"proposed":[188,251],"adaptability":[190,259],"measurement,":[191],"quantitatively":[193],"estimates":[194],"if":[195],"be":[201,239],"adapted":[202,240],"Extensive":[207],"experiments":[208],"performed":[210],"over":[211],"Letor":[212],"benchmark":[213],"dataset":[214],"large":[217],"scale":[218],"datasets":[219],"crawled":[220],"through":[224],"commercial":[226],"internet":[227],"engine,":[229],"where":[230],"one":[236],"will":[238],"other.":[243],"results":[245],"demonstrate":[246],"applicabilities":[248],"measurement.":[260]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
