{"id":"https://openalex.org/W4385688415","doi":"https://doi.org/10.1145/3578337.3605139","title":"Retrieving Webpages Using Online Discussions","display_name":"Retrieving Webpages Using Online Discussions","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4385688415","doi":"https://doi.org/10.1145/3578337.3605139"},"language":"en","primary_location":{"id":"doi:10.1145/3578337.3605139","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3578337.3605139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM SIGIR International Conference on Theory of 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/A5090930912","display_name":"Kevin Ros","orcid":"https://orcid.org/0009-0007-0961-2694"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kevin Ros","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, USA"],"raw_orcid":"https://orcid.org/0009-0007-0961-2694","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009293975","display_name":"Matthew Jin","orcid":"https://orcid.org/0009-0005-3591-6603"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Jin","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, USA"],"raw_orcid":"https://orcid.org/0009-0005-3591-6603","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103178860","display_name":"Jacob Levine","orcid":"https://orcid.org/0009-0003-2530-7690"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Levine","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, USA"],"raw_orcid":"https://orcid.org/0009-0003-2530-7690","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028518494","display_name":"ChengXiang Zhai","orcid":"https://orcid.org/0000-0002-6434-3702"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChengXiang Zhai","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, USA"],"raw_orcid":"https://orcid.org/0000-0002-6434-3702","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090930912"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.6816,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75454896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9959999918937683,"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":0.9959999918937683,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9959999918937683,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9904000163078308,"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":0.8663097023963928},{"id":"https://openalex.org/keywords/hyperlink","display_name":"Hyperlink","score":0.8190592527389526},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7543522119522095},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.6653062701225281},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5768159627914429},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5585936307907104},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5338858962059021},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49094775319099426},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4889489412307739},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.483704149723053},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.42303037643432617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20634686946868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8663097023963928},{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.8190592527389526},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7543522119522095},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.6653062701225281},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5768159627914429},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5585936307907104},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5338858962059021},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49094775319099426},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4889489412307739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.483704149723053},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.42303037643432617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20634686946868896},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578337.3605139","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3578337.3605139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G7068122608","display_name":null,"funder_award_id":"1801652","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1602102908","https://openalex.org/W1968541091","https://openalex.org/W1977089507","https://openalex.org/W2015642291","https://openalex.org/W2020530643","https://openalex.org/W2028593080","https://openalex.org/W2055152834","https://openalex.org/W2117473841","https://openalex.org/W2170500458","https://openalex.org/W2510317721","https://openalex.org/W2532890429","https://openalex.org/W2604436559","https://openalex.org/W2740900805","https://openalex.org/W2805720864","https://openalex.org/W2808352493","https://openalex.org/W2811593923","https://openalex.org/W2895692483","https://openalex.org/W2970641574","https://openalex.org/W3043016077","https://openalex.org/W3099732023","https://openalex.org/W3134041167","https://openalex.org/W3180230246","https://openalex.org/W3189373506","https://openalex.org/W4251326898","https://openalex.org/W4281557826"],"related_works":["https://openalex.org/W2245616560","https://openalex.org/W2351804282","https://openalex.org/W2048998278","https://openalex.org/W1556894713","https://openalex.org/W2382071381","https://openalex.org/W1490416172","https://openalex.org/W158130761","https://openalex.org/W2588706232","https://openalex.org/W2096877906","https://openalex.org/W2228146393"],"abstract_inverted_index":{"Online":[0],"discussions":[1],"are":[2,170],"a":[3,53,63,79,86,95,100,108],"ubiquitous":[4],"aspect":[5],"of":[6,66,88],"everyday":[7],"life.":[8],"An":[9],"Internet":[10],"user":[11],"who":[12],"interacts":[13],"with":[14,176],"an":[15,71,91,114],"online":[16,72,92,115],"discussion":[17,28,93,116],"may":[18],"benefit":[19],"from":[20],"seeing":[21],"hyperlinks":[22,149,177],"to":[23,26,102,118,131,143,153,192],"webpages":[24,32,69],"relevant":[25,31,68,104],"the":[27,30,76,145],"because":[29],"can":[33,49,181],"provide":[34],"added":[35],"context,":[36],"act":[37],"as":[38,78,94,150,178],"citations":[39],"for":[40,135],"background":[41],"sources,":[42],"or":[43],"condense":[44],"information":[45],"so":[46],"that":[47,147,164,173],"conversations":[48],"proceed":[50],"seamlessly":[51],"at":[52],"high":[54],"level.":[55],"In":[56],"this":[57,120,137,197],"paper,":[58],"we":[59,84],"propose":[60,142],"and":[61,97,125,157,172,190],"study":[62,119],"new":[64,109,121,138],"task":[65,77],"retrieving":[67],"given":[70],"discussion.":[73],"We":[74,106,123,140,162,185],"frame":[75],"novel":[80],"retrieval":[81,129,160,168],"problem":[82],"where":[83],"treat":[85],"sequence":[87],"comments":[89,146,175],"in":[90,196],"query":[96,101],"use":[98],"such":[99],"retrieve":[103],"webpages.":[105],"construct":[107],"data":[110,152,180,188],"set":[111,189],"using":[112,166],"Reddit,":[113],"forum,":[117],"problem.":[122,139],"explore":[124],"evaluate":[126],"multiple":[127],"representative":[128],"methods":[130,169],"examine":[132],"their":[133],"effectiveness":[134],"solving":[136],"also":[141],"leverage":[144],"contain":[148],"training":[151,179],"enable":[154,193],"supervised":[155],"learning":[156],"further":[158,182],"improve":[159,183],"performance.":[161,184],"find":[163],"results":[165],"modern":[167],"promising":[171],"leveraging":[174],"release":[186],"our":[187],"code":[191],"additional":[194],"research":[195],"direction.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
