{"id":"https://openalex.org/W2742319866","doi":"https://doi.org/10.1145/3106426.3106527","title":"Context-aware relevance feedback over SNS graph data","display_name":"Context-aware relevance feedback over SNS graph data","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2742319866","doi":"https://doi.org/10.1145/3106426.3106527","mag":"2742319866"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106527","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106527","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","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/A5035557033","display_name":"Daisuke Kataoka","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Kataoka","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015183832","display_name":"Makoto P. Kato","orcid":"https://orcid.org/0000-0002-9351-0901"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto P. Kato","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073451935","display_name":"Takehiro Yamamoto","orcid":"https://orcid.org/0000-0003-0601-3139"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehiro Yamamoto","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024408306","display_name":"Hiroaki Ohshima","orcid":"https://orcid.org/0000-0002-9492-2246"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Ohshima","raw_affiliation_strings":["University of Hyogo, Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943741","display_name":"Katsumi Tanaka","orcid":"https://orcid.org/0000-0003-1731-931X"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsumi Tanaka","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.361,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57643161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"823","last_page":"830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9988999962806702,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9988999962806702,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9970999956130981,"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":0.9969000220298767,"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":0.7970595955848694},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.7060867547988892},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6479315757751465},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5322520732879639},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49866604804992676},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3769209682941437},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3131672143936157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18136116862297058},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.059271544218063354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7970595955848694},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7060867547988892},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6479315757751465},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5322520732879639},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49866604804992676},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3769209682941437},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3131672143936157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18136116862297058},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.059271544218063354},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3106527","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106527","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6854546984","display_name":null,"funder_award_id":"15H01718, 26700009, 16H02906, 16K16156, 16H01756.","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W188483116","https://openalex.org/W1561650654","https://openalex.org/W1575184245","https://openalex.org/W1702721705","https://openalex.org/W1806107381","https://openalex.org/W1972213693","https://openalex.org/W1974548136","https://openalex.org/W1991693254","https://openalex.org/W2013236067","https://openalex.org/W2017292914","https://openalex.org/W2024888189","https://openalex.org/W2027323723","https://openalex.org/W2036797646","https://openalex.org/W2069870183","https://openalex.org/W2083205809","https://openalex.org/W2085058422","https://openalex.org/W2153756419","https://openalex.org/W2195033795","https://openalex.org/W2282414926","https://openalex.org/W2407399750","https://openalex.org/W2508461649","https://openalex.org/W2595551253","https://openalex.org/W2605110487","https://openalex.org/W2605149786","https://openalex.org/W2968573267","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1971071004","https://openalex.org/W2136645746","https://openalex.org/W1516841646","https://openalex.org/W1990172504","https://openalex.org/W2358927502","https://openalex.org/W91919785","https://openalex.org/W1584628001","https://openalex.org/W2113861525","https://openalex.org/W2111159538","https://openalex.org/W1511363885"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,71,113,147],"method":[4,73,106,135,155],"for":[5,27,177],"retrieving":[6],"and":[7,16,83,86,115,132,166],"ranking":[8],"posts":[9,29,40,127],"from":[10],"social":[11],"network":[12],"services(SNSs)":[13],"by":[14],"specifying":[15],"providing":[17],"feedback":[18,95,138,178],"on":[19,92,146],"the":[20,37,47,57,93,100,108,116,174],"context":[21,38,84],"of":[22,39,49,64,78,102,130],"posts.":[23,103],"Current":[24],"search":[25,72,105],"systems":[26],"SNS":[28,50,110,164],"cannot":[30],"handle":[31],"user":[32,94,137],"intent":[33],"with":[34,96,162],"regard":[35],"to":[36,41,46,99,124],"be":[42],"retrieved,":[43],"mainly":[44],"owing":[45],"incompleteness":[48],"posts,":[51],"i.e.,":[52],"they":[53],"do":[54],"not":[55],"contain":[56],"users'":[58],"contexts":[59,101],"(e.g.,":[60],"situations":[61],"or":[62],"preferences)":[63],"users":[65],"posting":[66],"messages.":[67],"Hence,":[68],"we":[69,171],"propose":[70],"that":[74,87,152],"accepts":[75],"two":[76],"kinds":[77],"queries,":[79,85],"namely,":[80],"content":[81,131],"queries":[82,90],"updates":[88],"these":[89],"based":[91,145],"special":[97],"attention":[98],"Our":[104,142],"considers":[107],"whole":[109],"dataset":[111],"as":[112,121,160],"graph":[114],"nodes":[117],"surrounding":[118],"each":[119],"post":[120],"its":[122],"context;":[123],"find":[125],"relevant":[126],"in":[128],"terms":[129],"context,":[133],"our":[134,153],"propagates":[136],"via":[139],"this":[140],"graph.":[141],"experimental":[143],"results":[144],"Twitter":[148],"test":[149],"collection":[150],"revealed":[151],"proposed":[154],"showed":[156],"improved":[157],"retrieval":[158,165],"performance":[159],"compared":[161],"conventional":[163],"relevance":[167],"feedback.":[168],"In":[169],"addition,":[170],"could":[172],"detect":[173],"optimal":[175],"parameters":[176],"propagating.":[179]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}