{"id":"https://openalex.org/W7164823775","doi":"https://doi.org/10.1145/3805622.3810603","title":"Target-Enhanced Gated Transformer: A Multi-Behavior Recommendation Framework for Noise Suppression and Target Signal Preservation","display_name":"Target-Enhanced Gated Transformer: A Multi-Behavior Recommendation Framework for Noise Suppression and Target Signal Preservation","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164823775","doi":"https://doi.org/10.1145/3805622.3810603"},"language":null,"primary_location":{"id":"doi:10.1145/3805622.3810603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810603","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805622.3810603","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100430876","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0003-3415-5345"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0000-8810-6923","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091339016","display_name":"Xu Cheng","orcid":"https://orcid.org/0000-0002-4724-5748"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Cheng","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4724-5748","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052639977","display_name":"Likang Wu","orcid":"https://orcid.org/0000-0002-4929-8587"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Likang Wu","raw_affiliation_strings":["College of Management and Economics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4929-8587","affiliations":[{"raw_affiliation_string":"College of Management and Economics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082799071","display_name":"Yingyuan Xiao","orcid":"https://orcid.org/0000-0002-5711-8638"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyuan Xiao","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5711-8638","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041936738","display_name":"Wenguang Zheng","orcid":"https://orcid.org/0000-0003-0474-6611"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenguang Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0474-6611","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94213427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.12150000035762787,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.12150000035762787,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.054999999701976776,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.05249999836087227,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/noise","display_name":"Noise (video)","score":0.5112000107765198},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.38510000705718994},{"id":"https://openalex.org/keywords/noise-suppression","display_name":"Noise suppression","score":0.31060001254081726},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.29030001163482666},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.2897999882698059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184999942779541},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5112000107765198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4343000054359436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3887999951839447},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C2987345804","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Noise suppression","level":3,"score":0.31060001254081726},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.30169999599456787},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C529754248","wikidata":"https://www.wikidata.org/wiki/Q1054772","display_name":"Data recovery","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805622.3810603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810603","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805622.3810603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810603","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7094416618347168,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1806220264","https://openalex.org/W2042281163","https://openalex.org/W2117420919","https://openalex.org/W2517217469","https://openalex.org/W2762653287","https://openalex.org/W2996623289","https://openalex.org/W2996863522","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3088777230","https://openalex.org/W3094605801","https://openalex.org/W3134210100","https://openalex.org/W4210334834","https://openalex.org/W4212931205","https://openalex.org/W4221155633","https://openalex.org/W4226368340","https://openalex.org/W4285600332","https://openalex.org/W4287169361","https://openalex.org/W4306830375","https://openalex.org/W4324359913","https://openalex.org/W4361230837","https://openalex.org/W4362578480","https://openalex.org/W4378771633","https://openalex.org/W4386090381","https://openalex.org/W4399116920","https://openalex.org/W4400524972","https://openalex.org/W4403028081","https://openalex.org/W4403295050","https://openalex.org/W4404576798","https://openalex.org/W4405812234","https://openalex.org/W4407953601","https://openalex.org/W4410153016","https://openalex.org/W4414159289"],"related_works":[],"abstract_inverted_index":{"Multi-behavior":[0],"recommendation":[1],"systems":[2],"enhance":[3],"prediction":[4],"accuracy":[5],"for":[6],"target":[7,67,75,127,151,179],"behavior":[8,128],"(e.g.,":[9],"purchase)":[10],"by":[11,141],"integrating":[12],"auxiliary":[13,39,71,135],"behaviors":[14,40],"such":[15],"as":[16,129],"viewing":[17],"and":[18,51,114,150,167,204],"adding":[19],"to":[20,49,56,131,145,172,200],"cart.":[21],"However,":[22],"existing":[23],"models":[24],"face":[25],"two":[26],"fundamental":[27],"challenges":[28],"regarding":[29],"data":[30],"characteristics:":[31],"On":[32,60],"one":[33],"hand,":[34,63],"they":[35],"typically":[36],"treat":[37],"all":[38],"equally":[41],"or":[42],"apply":[43],"simple":[44],"weighting,":[45],"lacking":[46],"effective":[47],"mechanisms":[48],"evaluate":[50],"filter":[52],"inherent":[53],"noise,":[54],"leading":[55],"contaminated":[57],"feature":[58],"representations.":[59],"the":[61,73,85,154,164],"other":[62],"when":[64],"fusing":[65],"sparse":[66,178],"features":[68],"with":[69],"abundant":[70],"features,":[72],"critical":[74],"signal":[76],"is":[77],"easily":[78],"diluted,":[79],"losing":[80],"its":[81],"dominant":[82],"role":[83],"in":[84,153,202,206],"final":[86],"prediction.":[87],"To":[88],"address":[89],"this,":[90],"we":[91],"propose":[92],"a":[93,103,121,157],"Target-Enhanced":[94],"Gated":[95],"Transformer":[96],"model":[97],"TEGT.":[98],"Its":[99],"core":[100],"innovations":[101],"include:":[102],"behavior-adaptive":[104],"gating":[105],"module":[106,162],"that":[107,188],"filters":[108],"source-level":[109],"noise":[110,148],"through":[111],"nonlinear":[112],"transformations":[113],"hard":[115],"thresholding":[116],"while":[117],"generating":[118],"importance":[119],"weights;":[120],"target-guided":[122],"dual-modulation":[123],"attention":[124],"mechanism":[125],"utilizes":[126],"queries":[130],"retrieve":[132],"semantically":[133],"relevant":[134],"signals,":[136],"then":[137],"applies":[138],"secondary":[139],"modulation":[140],"combining":[142],"gated":[143],"weights":[144],"ensure":[146],"both":[147],"resistance":[149],"dominance":[152],"fusion":[155],"process;":[156],"lightweight":[158],"collaborative":[159,175],"semantic":[160],"enhancement":[161],"clusters":[163],"fused":[165],"representations":[166],"employs":[168],"cluster-center":[169],"contrastive":[170],"learning":[171],"explicitly":[173],"amplify":[174],"signals":[176],"under":[177],"behavior.":[180],"Extensive":[181],"experiments":[182],"on":[183],"three":[184],"real-world":[185],"datasets":[186],"show":[187],"TEGT":[189],"consistently":[190],"outperforms":[191],"state-of-the-art":[192],"baselines,":[193],"it":[194],"achieves":[195],"remarkable":[196],"improvements":[197],"of":[198],"up":[199],"9.73%":[201],"Recall@10":[203],"9.16%":[205],"NDCG@10.":[207]},"counts_by_year":[],"updated_date":"2026-06-17T06:14:20.161405","created_date":"2026-06-16T00:00:00"}
