{"id":"https://openalex.org/W2004091643","doi":"https://doi.org/10.1145/1807167.1807216","title":"Multiple feature fusion for social media applications","display_name":"Multiple feature fusion for social media applications","publication_year":2010,"publication_date":"2010-06-06","ids":{"openalex":"https://openalex.org/W2004091643","doi":"https://doi.org/10.1145/1807167.1807216","mag":"2004091643"},"language":"en","primary_location":{"id":"doi:10.1145/1807167.1807216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","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/A5062357883","display_name":"Bin Cui","orcid":"https://orcid.org/0000-0003-1681-4677"},"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":"Bin Cui","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"raw_orcid":null,"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/A5023925931","display_name":"Anthony K. H. Tung","orcid":"https://orcid.org/0000-0002-5125-855X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anthony K.H. Tung","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383731","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0002-8105-7505"},"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":"Ce Zhang","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"raw_orcid":null,"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/A5100631150","display_name":"Zhe Zhao","orcid":"https://orcid.org/0000-0002-6847-0186"},"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":"Zhe Zhao","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"raw_orcid":null,"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"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.552,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93205272,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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":0.9991000294685364,"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":0.9983999729156494,"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":0.8118865489959717},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7153352499008179},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.691627562046051},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6582733392715454},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5522758364677429},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5162398815155029},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.49810028076171875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48705270886421204},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4601041078567505},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43330854177474976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39451462030410767},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3818938136100769},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3674440383911133},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25136977434158325},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1281696856021881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118865489959717},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7153352499008179},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.691627562046051},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6582733392715454},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5522758364677429},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5162398815155029},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.49810028076171875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48705270886421204},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4601041078567505},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43330854177474976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39451462030410767},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3818938136100769},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3674440383911133},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25136977434158325},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1281696856021881},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1807167.1807216","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/40266","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/40266","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1031.2502","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1031.2502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://net.pku.edu.cn/%7Ecuibin/Papers/2010sigmod.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W281665770","https://openalex.org/W1505460822","https://openalex.org/W1567885833","https://openalex.org/W1971040550","https://openalex.org/W1979117702","https://openalex.org/W1991690050","https://openalex.org/W1992778361","https://openalex.org/W1999931200","https://openalex.org/W2035087412","https://openalex.org/W2038721957","https://openalex.org/W2042608483","https://openalex.org/W2045921448","https://openalex.org/W2049213427","https://openalex.org/W2070740689","https://openalex.org/W2074530091","https://openalex.org/W2082737904","https://openalex.org/W2105644991","https://openalex.org/W2108153239","https://openalex.org/W2113146646","https://openalex.org/W2134206624","https://openalex.org/W2136480620","https://openalex.org/W2137114199","https://openalex.org/W2142552713","https://openalex.org/W2148891597","https://openalex.org/W2150600350","https://openalex.org/W2154462399","https://openalex.org/W2162272882","https://openalex.org/W2997532932","https://openalex.org/W4235505822","https://openalex.org/W4237841550","https://openalex.org/W4285719527","https://openalex.org/W6675760969"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2201908702","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W17155033"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,35,52,180],"social":[3,27,40,72,145,158],"media":[4,20,41,73,146,159],"as":[5,44,105,112],"a":[6,57,80,97,117,166],"crucial":[7],"paradigm":[8],"has":[9,31],"posed":[10],"new":[11],"challenges":[12],"to":[13,23,61,83,125],"the":[14,33,39,53,63,108,127,154,174,178],"research":[15],"and":[16,47,87,107,173],"industry":[17],"communities,":[18],"where":[19],"are":[21],"designed":[22],"be":[24],"disseminated":[25],"through":[26],"interaction.":[28],"Recent":[29],"literature":[30],"noted":[32],"generality":[34],"multiple":[36,85],"features":[37,64,86,104],"in":[38],"environment,":[42],"such":[43],"textual,":[45],"visual":[46],"user":[48],"information.":[49],"However,":[50],"most":[51],"studies":[54],"employ":[55,116],"only":[56],"relatively":[58],"simple":[59],"mechanism":[60],"merge":[62],"rather":[65],"than":[66],"fully":[67],"exploit":[68],"feature":[69],"correlation":[70],"for":[71,90,129,143,157],"applications.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78,94,115,137,149],"propose":[79],"novel":[81],"approach":[82,164],"fusing":[84],"their":[88],"correlations":[89,109],"similarity":[91,130],"evaluation.":[92],"Specifically,":[93],"first":[95],"build":[96],"Feature":[98],"Interaction":[99],"Graph":[100],"(FIG)":[101],"by":[102],"taking":[103],"nodes":[106],"between":[110,132],"them":[111],"edges.":[113],"Then,":[114],"probabilistic":[118,155],"model":[119,156],"based":[120],"on":[121],"Markov":[122],"Random":[123],"Field":[124],"describe":[126],"graph":[128],"measure":[131],"multimedia":[133],"objects.":[134],"Using":[135],"that,":[136],"design":[138],"an":[139],"efficient":[140],"retrieval":[141],"algorithm":[142],"large":[144,167],"data.":[147],"Further,":[148],"integrate":[150],"temporal":[151],"information":[152],"into":[153],"recommendation.":[160],"We":[161],"evaluate":[162],"our":[163,181],"using":[165],"real-life":[168],"corpus":[169],"collected":[170],"from":[171],"Flickr,":[172],"experimental":[175],"results":[176],"indicate":[177],"superiority":[179],"proposed":[182],"method":[183],"over":[184],"state-of-the-art":[185],"techniques.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
