{"id":"https://openalex.org/W4367310625","doi":"https://doi.org/10.1145/3543873.3587344","title":"A Cross-Media Retrieval System for Web-SNS-Map Using Suggested Keywords Generating and Ranking Method Based on Search Characteristics","display_name":"A Cross-Media Retrieval System for Web-SNS-Map Using Suggested Keywords Generating and Ranking Method Based on Search Characteristics","publication_year":2023,"publication_date":"2023-04-28","ids":{"openalex":"https://openalex.org/W4367310625","doi":"https://doi.org/10.1145/3543873.3587344"},"language":"en","primary_location":{"id":"doi:10.1145/3543873.3587344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100384528","display_name":"Da Li","orcid":"https://orcid.org/0000-0001-8559-9072"},"institutions":[{"id":"https://openalex.org/I31784960","display_name":"Fukuoka University","ror":"https://ror.org/04nt8b154","country_code":"JP","type":"education","lineage":["https://openalex.org/I31784960"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Da Li","raw_affiliation_strings":["Fukuoka University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8559-9072","affiliations":[{"raw_affiliation_string":"Fukuoka University, Japan","institution_ids":["https://openalex.org/I31784960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068057856","display_name":"Masaki Sugihashi","orcid":"https://orcid.org/0009-0008-9486-9669"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Sugihashi","raw_affiliation_strings":["Kyoto Sangyo University, Japan"],"raw_orcid":"https://orcid.org/0009-0008-9486-9669","affiliations":[{"raw_affiliation_string":"Kyoto Sangyo University, Japan","institution_ids":["https://openalex.org/I168356945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010661198","display_name":"Tadahiko Kumamoto","orcid":"https://orcid.org/0000-0002-1429-5909"},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadahiko Kumamoto","raw_affiliation_strings":["Chiba Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1429-5909","affiliations":[{"raw_affiliation_string":"Chiba Institute of Technology, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055074100","display_name":"Yukiko Kawai","orcid":"https://orcid.org/0000-0003-2627-6673"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukiko Kawai","raw_affiliation_strings":["Kyoto Sangyo University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2627-6673","affiliations":[{"raw_affiliation_string":"Kyoto Sangyo University, Japan","institution_ids":["https://openalex.org/I168356945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.991100013256073,"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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.991100013256073,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9905999898910522,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9839000105857849,"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":0.8416569828987122},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.8132005929946899},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.7073166370391846},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6830834746360779},{"id":"https://openalex.org/keywords/adversarial-information-retrieval","display_name":"Adversarial information retrieval","score":0.6626847982406616},{"id":"https://openalex.org/keywords/human\u2013computer-information-retrieval","display_name":"Human\u2013computer information retrieval","score":0.642011284828186},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5595991611480713},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47740140557289124},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.46245694160461426},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4357777237892151},{"id":"https://openalex.org/keywords/cognitive-models-of-information-retrieval","display_name":"Cognitive models of information retrieval","score":0.28831368684768677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11678937077522278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8416569828987122},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.8132005929946899},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.7073166370391846},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6830834746360779},{"id":"https://openalex.org/C116425068","wikidata":"https://www.wikidata.org/wiki/Q4686695","display_name":"Adversarial information retrieval","level":5,"score":0.6626847982406616},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.642011284828186},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5595991611480713},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47740140557289124},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.46245694160461426},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4357777237892151},{"id":"https://openalex.org/C21025794","wikidata":"https://www.wikidata.org/wiki/Q5141219","display_name":"Cognitive models of information retrieval","level":4,"score":0.28831368684768677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11678937077522278},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543873.3587344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1512252227","https://openalex.org/W1585610988","https://openalex.org/W1977556410","https://openalex.org/W2091209984","https://openalex.org/W2106732680","https://openalex.org/W2471788434","https://openalex.org/W2584535601","https://openalex.org/W2606965845","https://openalex.org/W6767876026"],"related_works":["https://openalex.org/W2367099342","https://openalex.org/W2040524271","https://openalex.org/W2737221483","https://openalex.org/W2385599135","https://openalex.org/W2368472114","https://openalex.org/W2007963090","https://openalex.org/W2387397891","https://openalex.org/W2263138999","https://openalex.org/W1964038241","https://openalex.org/W2116205849"],"abstract_inverted_index":{"The":[0],"research":[1],"on":[2,15,51,138],"multimedia":[3],"retrieval":[4,22,86,154,179],"has":[5],"lasted":[6],"for":[7],"several":[8],"decades.":[9],"However,":[10],"past":[11],"efforts":[12],"generally":[13],"focused":[14],"single-media":[16,40],"retrieval,":[17,41],"where":[18],"the":[19,26,98,139,153,157,177,183,202,205],"queries":[20],"and":[21,105,166,194],"results":[23,68,126,180,207],"belong":[24],"to":[25,44,65,77,92,116,123,127,151,160,169,181,197],"same":[27],"media":[28,34,47,72],"(platform)":[29],"type,":[30],"such":[31,54],"as":[32,55],"social":[33],"platforms":[35],"or":[36,48,58],"search":[37,46,52,95,118,125,140,144,149,206],"engines.":[38],"In":[39,79,110,133],"users":[42,128],"have":[43],"select":[45],"options":[49],"based":[50],"characteristics":[53,96],"contents,":[56],"time,":[57],"spatial":[59],"distance,":[60],"they":[61,74],"might":[62],"be":[63],"unable":[64],"retrieve":[66],"correct":[67],"mixed":[69],"in":[70],"other":[71],"if":[73],"carelessly":[75],"forget":[76],"select.":[78],"this":[80,134],"study,":[81],"we":[82,114,136,190,200],"propose":[83],"a":[84],"cross-media":[85],"system":[87],"using":[88,120],"suggestion":[89],"generation":[90],"methods":[91,122],"integrate":[93],"three":[94],"of":[97,142,204],"Web":[99],"(textual":[100],"content-based":[101],"retrieval),":[102],"SNS":[103],"(timeliness),":[104],"map":[106],"(spatial":[107],"distance-aware":[108],"retrieval).":[109],"our":[111,210],"previous":[112],"research,":[113],"attempted":[115],"improve":[117],"efficiency":[119,141],"clustering":[121],"provide":[124,195],"through":[129],"related":[130],"terms,":[131],"etc.":[132],"paper,":[135],"focus":[137],"multiple":[143],"media.":[145],"We":[146,175],"utilize":[147],"Google":[148,167],"engine":[150],"obtain":[152,161],"content":[155],"from":[156,164,173],"Web,":[158],"Twitter":[159],"timely":[162],"information":[163,172],"SNSs,":[165],"Maps":[168],"get":[170],"geographical":[171],"maps.":[174],"apply":[176],"obtained":[178],"analyze":[182],"similarities":[184],"between":[185],"them":[186,196],"by":[187,209],"clustering.":[188],"Then,":[189],"generate":[191],"relevant":[192],"suggestions":[193],"users.":[198],"Moreover,":[199],"validate":[201],"effectiveness":[203],"generated":[208],"proposed":[211],"system.":[212]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
