{"id":"https://openalex.org/W4387968306","doi":"https://doi.org/10.1145/3581783.3613755","title":"Enhancing Product Representation with Multi-form Interactions for Multimodal Conversational Recommendation","display_name":"Enhancing Product Representation with Multi-form Interactions for Multimodal Conversational Recommendation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968306","doi":"https://doi.org/10.1145/3581783.3613755"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3613755","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5101631286","display_name":"Wenzhe Du","orcid":"https://orcid.org/0009-0001-7897-0344"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhe Du","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0001-7897-0344","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093130618","display_name":"Su Haoyang","orcid":"https://orcid.org/0009-0001-0899-6274"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Su Haoyang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0001-0899-6274","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065000009","display_name":"Cam-Tu Nguyen","orcid":"https://orcid.org/0009-0006-9484-6876"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nguyen Cam-Tu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-9484-6876","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017024080","display_name":"Jian Sun","orcid":"https://orcid.org/0009-0001-8503-4458"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-8503-4458","affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]}],"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":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6491","last_page":"6500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7883515954017639},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6765904426574707},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6283947229385376},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6054168343544006},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.6038652062416077},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5252599120140076},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.49045440554618835},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4402911067008972},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42502737045288086},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4130403399467468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40032368898391724},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1904628574848175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.090351402759552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883515954017639},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6765904426574707},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6283947229385376},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6054168343544006},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.6038652062416077},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5252599120140076},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49045440554618835},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4402911067008972},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42502737045288086},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4130403399467468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40032368898391724},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1904628574848175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.090351402759552},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3613755","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3613755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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":38,"referenced_works":["https://openalex.org/W2112420033","https://openalex.org/W2194775991","https://openalex.org/W2349436533","https://openalex.org/W2607303097","https://openalex.org/W2809617427","https://openalex.org/W2897182555","https://openalex.org/W2898076813","https://openalex.org/W2956125353","https://openalex.org/W2962883855","https://openalex.org/W2963748384","https://openalex.org/W2964112275","https://openalex.org/W2970236742","https://openalex.org/W2981591098","https://openalex.org/W2997662139","https://openalex.org/W2998702515","https://openalex.org/W3021703952","https://openalex.org/W3044084930","https://openalex.org/W3089177865","https://openalex.org/W3093418251","https://openalex.org/W3099865390","https://openalex.org/W3106454043","https://openalex.org/W3113741750","https://openalex.org/W3116062118","https://openalex.org/W3152509363","https://openalex.org/W3154257542","https://openalex.org/W3156002164","https://openalex.org/W3156555225","https://openalex.org/W3162337509","https://openalex.org/W3176451698","https://openalex.org/W3196691777","https://openalex.org/W3197381498","https://openalex.org/W3201495823","https://openalex.org/W3207886649","https://openalex.org/W3211527163","https://openalex.org/W4224304013","https://openalex.org/W4283324387","https://openalex.org/W4283802761","https://openalex.org/W4312749754"],"related_works":["https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W2283130723","https://openalex.org/W103938586","https://openalex.org/W2104718772","https://openalex.org/W4233992201","https://openalex.org/W2292950558","https://openalex.org/W2368721880"],"abstract_inverted_index":{"Multimodal":[0],"Conversational":[1],"Recommendation":[2],"aims":[3],"to":[4,51,157,159],"find":[5],"appropriate":[6],"products":[7,17],"based":[8],"on":[9,32,185],"a":[10,77,84],"multi-turn":[11],"dialogue,":[12],"where":[13],"user":[14,34,162],"requests":[15],"and":[16,24,55,63,89,94,112,135,140,147,190],"can":[18],"be":[19],"presented":[20],"in":[21,164,169],"both":[22],"visual":[23],"textual":[25,101,137,149],"modalities.":[26],"While":[27],"previous":[28],"studies":[29],"have":[30],"focused":[31],"understanding":[33],"preferences":[35],"from":[36,59],"conversational":[37],"contexts,":[38],"the":[39,92,100,107,113,131,136,143,148,153,160,165],"task":[40],"of":[41,120],"product":[42,61,78,124,171],"modeling":[43],"has":[44],"been":[45],"relatively":[46],"unexplored.":[47],"This":[48],"study":[49],"targets":[50],"fill":[52],"this":[53,75],"gap":[54],"demonstrates":[56],"that":[57,177],"information":[58],"multiple":[60],"views":[62,96,104],"cross-view":[64],"interactions":[65,122,129,141],"are":[66,97,105,126],"essential":[67],"for":[68,91,123],"recommendation,":[69],"along":[70],"with":[71],"dialog":[72,166],"information.":[73],"To":[74],"end,":[76],"image":[79,87,133,145],"is":[80,155],"first":[81],"encoded":[82],"using":[83],"gated":[85],"multi-view":[86],"encoder,":[88],"representations":[90],"global":[93,132],"local":[95,144],"obtained.":[98],"On":[99],"side,":[102],"two":[103,186],"considered:":[106],"structure":[108,138],"view":[109,115,134,146],"(product":[110,116],"attributes)":[111],"sequence":[114,150],"description/reviews).":[117],"Two":[118],"forms":[119],"inter-modal":[121],"representation":[125,154],"then":[127],"modeled:":[128],"between":[130,142],"view,":[139],"view.":[151],"Furthermore,":[152],"enhanced":[156],"attend":[158],"latest":[161],"request":[163],"context,":[167],"resulting":[168],"query-aware":[170],"representation.":[172],"The":[173],"experimental":[174],"results":[175],"indicate":[176],"our":[178],"method,":[179],"named":[180],"Enteract,":[181],"achieves":[182],"state-of-the-art":[183],"performance":[184],"well-known":[187],"datasets":[188],"(MMD":[189],"SIMMC).":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
