{"id":"https://openalex.org/W4392903620","doi":"https://doi.org/10.1109/icassp48485.2024.10446181","title":"Multi-Interest Learning for Multi-Modal Paper Recommendation","display_name":"Multi-Interest Learning for Multi-Modal Paper Recommendation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903620","doi":"https://doi.org/10.1109/icassp48485.2024.10446181"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5057093904","display_name":"Xiaoteng Shen","orcid":"https://orcid.org/0009-0002-9559-3293"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoteng Shen","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027859047","display_name":"Liangcai Su","orcid":"https://orcid.org/0009-0003-3518-0021"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangcai Su","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600503","display_name":"Xi Xiao","orcid":"https://orcid.org/0000-0003-1521-9542"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Xiao","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421665","display_name":"Yi Li","orcid":"https://orcid.org/0000-0002-9319-0354"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6925","last_page":"6929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8187003135681152},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.733971357345581},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5433741807937622},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4955328702926636},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4778437316417694},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4629439115524292},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.44869542121887207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44723278284072876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42840737104415894},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.413252592086792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4080132246017456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3756588399410248},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1747961938381195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187003135681152},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.733971357345581},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5433741807937622},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4955328702926636},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4778437316417694},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4629439115524292},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.44869542121887207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44723278284072876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42840737104415894},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.413252592086792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4080132246017456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3756588399410248},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1747961938381195},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1159778067","display_name":"\u6d41\u91cf\u6570\u636e\u9a71\u52a8\u7684\u9c81\u68d2\u81ea\u9002\u5e94\u5206\u7c7b\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61972219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337986","display_name":"Tsinghua Shenzhen International Graduate School","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1932742904","https://openalex.org/W2022322548","https://openalex.org/W2054141820","https://openalex.org/W2140310134","https://openalex.org/W2194775991","https://openalex.org/W2896457183","https://openalex.org/W2923988880","https://openalex.org/W2946190525","https://openalex.org/W2963367478","https://openalex.org/W2967306210","https://openalex.org/W2982108874","https://openalex.org/W2982925423","https://openalex.org/W2997059287","https://openalex.org/W3080642298","https://openalex.org/W3096878731","https://openalex.org/W3120818937","https://openalex.org/W3167132658","https://openalex.org/W3171727748","https://openalex.org/W4224314236","https://openalex.org/W4284687944","https://openalex.org/W4285820457","https://openalex.org/W4289533951","https://openalex.org/W4299286960","https://openalex.org/W4390453522","https://openalex.org/W6680830989","https://openalex.org/W6692935382","https://openalex.org/W6755207826","https://openalex.org/W6762518954","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W2327021330","https://openalex.org/W2316594088","https://openalex.org/W2397440126","https://openalex.org/W2409084359","https://openalex.org/W68571419","https://openalex.org/W4392328073","https://openalex.org/W2317327847","https://openalex.org/W2989908193","https://openalex.org/W2052573402","https://openalex.org/W2083361043"],"abstract_inverted_index":{"To":[0,90],"help":[1],"researchers":[2],"find":[3],"papers":[4,109,150],"of":[5,23,30,35,79,108,122,172,182,186],"interest":[6],"quickly":[7],"and":[8,27,135,145,184],"accurately,":[9],"paper":[10,50,100,115,124],"recommendations":[11],"are":[12,58,70],"widely":[13],"deployed.":[14],"However,":[15],"they":[16],"face":[17],"unique":[18],"challenges,":[19],"including":[20],"the":[21,28,63,74,77,83,120,131,136,143,146,152,180,187],"exploitation":[22],"rich":[24],"multi-modal":[25,36],"features":[26,117],"modeling":[29,73],"complex":[31],"relationships.":[32],"In":[33],"terms":[34,171],"features,":[37],"previous":[38],"work":[39],"has":[40,162],"focused":[41],"on":[42,175],"textual":[43],"information":[44],"but":[45],"ignored":[46],"visual":[47,111,188],"information,":[48],"as":[49,110],"images":[51],"may":[52],"be":[53],"missing":[54,123],"or":[55],"their":[56],"meanings":[57],"highly":[59],"domain":[60],"specific.":[61],"On":[62],"other":[64],"hand,":[65],"although":[66],"conventional":[67],"recommendation":[68,101],"methods":[69],"suitable":[71],"for":[72,82,166],"user-paper":[75],"relationship,":[76],"lack":[78],"specific":[80],"designs":[81],"paper-paper":[84],"relationship":[85,148],"leads":[86],"to":[87,113,140,157,168],"sub-optimal":[88],"results.":[89],"overcome":[91],"these":[92],"limitations,":[93],"we":[94,127],"propose":[95],"a":[96,163],"Multi-interest":[97],"based":[98],"Multi-modal":[99],"model":[102],"named":[103],"TMRec.":[104],"TMRec":[105,161,183],"utilizes":[106],"screenshots":[107],"impressions":[112],"capture":[114],"style":[116],"while":[118],"avoiding":[119],"dilemma":[121],"images.":[125],"Additionally,":[126],"have":[128],"specially":[129],"designed":[130],"multi-interest":[132,144],"extraction":[133],"module":[134,139],"multi-level":[137],"interaction":[138],"consider":[141],"both":[142],"citation":[147],"between":[149],"in":[151,170],"user":[153],"behavior":[154],"sequence.":[155],"Compared":[156],"various":[158],"strong":[159],"baselines,":[160],"relative":[164],"improvement":[165],"up":[167],"20%":[169],"recall":[173],"rate":[174],"real-world":[176],"datasets,":[177],"which":[178],"demonstrates":[179],"superiority":[181],"effectiveness":[185],"impression":[189],"feature.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
