iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1109/HOTWEB.2006.355265
{"id":"https://openalex.org/W2545677269","doi":"https://doi.org/10.1109/hotweb.2006.355265","title":"Measurement and Modeling of A Web-based Question Answering System","display_name":"Measurement and Modeling of A Web-based Question Answering System","publication_year":2006,"publication_date":"2006-11-01","ids":{"openalex":"https://openalex.org/W2545677269","doi":"https://doi.org/10.1109/hotweb.2006.355265","mag":"2545677269"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/hotweb.2006.355265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5028740131","display_name":"Chunyi Peng","orcid":"https://orcid.org/0000-0002-2361-2224"},"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":"Chunyi Peng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084527677","display_name":"Zaoyang Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaoyang Gong","raw_affiliation_strings":["Department of Computer Science, University of Beihang, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Beihang, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081220735","display_name":"Guobin Shen","orcid":"https://orcid.org/0000-0002-4069-2107"},"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":"Guobin Shen","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":61},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert Finding in Online Communities","score":0.9996,"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/T13274","display_name":"Expert Finding in Online Communities","score":0.9996,"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/T10028","display_name":"Natural Language Processing","score":0.9981,"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 Techniques and Evaluation","score":0.9795,"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/answer-quality","display_name":"Answer Quality","score":0.578817},{"id":"https://openalex.org/keywords/query-analysis","display_name":"Query Analysis","score":0.565542},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.54753256},{"id":"https://openalex.org/keywords/question-routing","display_name":"Question Routing","score":0.51533},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to Rank","score":0.504972},{"id":"https://openalex.org/keywords/information-seeker-satisfaction","display_name":"Information Seeker Satisfaction","score":0.501137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.87118155},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.54753256},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4953288},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.44600785},{"id":"https://openalex.org/C130436687","wikidata":"https://www.wikidata.org/wiki/Q7978591","display_name":"Web modeling","level":3,"score":0.43400607},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.43072814},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.42577732},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.41797337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1889025}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/hotweb.2006.355265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W151117666","https://openalex.org/W1540916400","https://openalex.org/W1547816677","https://openalex.org/W1979065383","https://openalex.org/W2055354597","https://openalex.org/W2064890829","https://openalex.org/W2070497706","https://openalex.org/W2094208320","https://openalex.org/W2099685860","https://openalex.org/W2126505669","https://openalex.org/W2162355876","https://openalex.org/W2793292424"],"related_works":["https://openalex.org/W3139770152","https://openalex.org/W3136060338","https://openalex.org/W2349200978","https://openalex.org/W2150333190","https://openalex.org/W2149623444","https://openalex.org/W2083496135","https://openalex.org/W2064213895","https://openalex.org/W187706589","https://openalex.org/W1501569591","https://openalex.org/W1492751213"],"abstract_inverted_index":{"Question-answering":[0],"(QA)":[1],"is":[2,157],"one":[3],"of":[4,29,72,102,153,161,167],"the":[5,45,70,87,100,113,134,151,158,165],"most":[6,66],"natural":[7],"and":[8,38,44,62,119],"effective":[9],"channels":[10],"for":[11,86],"specific":[12],"information":[13],"acquisition.":[14],"QA":[15],"systems":[16,169],"emerged":[17],"several":[18,140],"decades":[19],"back.":[20],"In":[21],"this":[22,156],"paper,":[23],"we":[24,54,81,138],"perform":[25],"a":[26,30,51,73,83,103,120],"measurement":[27,79],"study":[28,129],"popular,":[31],"large":[32],"scale":[33],"Web-QA":[34,52,74,104,145,168],"system,":[35,53],"i.e.":[36],"iAsk,":[37],"systematically":[39],"investigate":[40],"various":[41],"behavior":[42],"patterns":[43],"system":[46,105,121,135,146],"performance.":[47,136],"To":[48,150],"evaluate":[49],"such":[50],"propose":[55,82,139],"three":[56,88,110],"performance":[57,89],"metrics,":[58],"namely":[59],"reply-rate,":[60],"reply-number,":[61],"reply-latency,":[63],"which":[64,143],"are":[65],"closely":[67],"related":[68],"to":[69,125],"QoS":[71,101],"system.":[75],"Based":[76],"on":[77,109,133],"extensive":[78],"results,":[80],"mathematical":[84],"framework":[85,97],"metrics":[90],"that":[91,99,163],"capture":[92],"our":[93,154],"observation":[94],"precisely.":[95],"The":[96],"reveals":[98],"actually":[106],"heavily":[107],"depends":[108],"key":[111],"factors:":[112],"user":[114,116],"scale,":[115],"reply":[117],"probability":[118],"design":[122],"artifact":[123],"(related":[124],"Webpage":[126],"layout).":[127],"We":[128],"their":[130],"respective":[131],"impacts":[132],"Finally,":[137],"ways":[141],"through":[142],"current":[144],"can":[147],"be":[148],"improved.":[149],"best":[152],"knowledge,":[155],"first":[159],"piece":[160],"work":[162],"studies":[164],"performances":[166]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2545677269","counts_by_year":[],"updated_date":"2024-09-18T03:12:24.350420","created_date":"2016-11-04"}