{"id":"https://openalex.org/W4396843844","doi":"https://doi.org/10.1145/3589335.3648308","title":"Aligned Side Information Fusion Method for Sequential Recommendation","display_name":"Aligned Side Information Fusion Method for Sequential Recommendation","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843844","doi":"https://doi.org/10.1145/3589335.3648308"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3648308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3648308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648308","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648308","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021868402","display_name":"Shuhan Wang","orcid":"https://orcid.org/0009-0006-6198-7031"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shuhan Wang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053959119","display_name":"Bin Shen","orcid":"https://orcid.org/0000-0002-0167-3034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Shen","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101891282","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-5952-0794"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Min","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082449442","display_name":"Yong He","orcid":"https://orcid.org/0009-0000-5390-2655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746436","display_name":"Xiaolu Zhang","orcid":"https://orcid.org/0009-0007-7508-0956"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolu Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425242","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-7744-7789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044628261","display_name":"Linjian Mo","orcid":"https://orcid.org/0000-0002-6682-1448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjian Mo","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5021868402"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.733,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97218272,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9947999715805054,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9943000078201294,"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":0.8080732822418213},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6002393960952759},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5868884325027466},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5758330821990967},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5020980834960938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4857178330421448},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4738769233226776},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.432674765586853},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37912020087242126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3214567005634308},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1046845018863678},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10407915711402893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09040632843971252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8080732822418213},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6002393960952759},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5868884325027466},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5758330821990967},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5020980834960938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4857178330421448},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4738769233226776},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.432674765586853},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37912020087242126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3214567005634308},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1046845018863678},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10407915711402893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09040632843971252},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3648308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3648308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648308","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3648308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3648308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3648308","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843844.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2619383789","https://openalex.org/W2625746539","https://openalex.org/W2783272285","https://openalex.org/W2902040508","https://openalex.org/W2963367478","https://openalex.org/W2966483207","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3065542300","https://openalex.org/W3081170586","https://openalex.org/W3098231197","https://openalex.org/W3100260481","https://openalex.org/W3133849783","https://openalex.org/W3135396887","https://openalex.org/W3153468025","https://openalex.org/W3156844209","https://openalex.org/W3178835722","https://openalex.org/W3185773347","https://openalex.org/W3201149665","https://openalex.org/W3206127589","https://openalex.org/W3208227120","https://openalex.org/W4220974940","https://openalex.org/W4224952158","https://openalex.org/W6600388300"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Combining":[0],"contextual":[1],"information":[2,25,79,88,97,155,181],"(i.e.,":[3],"side":[4,24,62,78,96,154,180],"information)":[5],"of":[6,47,95,114,178,195],"items":[7],"beyond":[8],"IDs":[9,60,152],"has":[10],"become":[11],"an":[12,103],"important":[13],"way":[14],"to":[15,70,87,131,146,161],"improve":[16],"the":[17,45,92,129,133,137,143,148,163,168,179,193,201],"performance":[18],"in":[19,50,80,136,203],"recommender":[20],"systems.":[21],"Existing":[22],"self-attention-based":[23],"fusion":[26,41,55],"methods":[27,66],"can":[28],"be":[29],"categorized":[30],"into":[31],"early,":[32],"late,":[33],"and":[34,61,122,153,156,170,207,210,215],"hybrid":[35,65],"fusion.":[36],"In":[37],"practice,":[38],"naive":[39],"early":[40],"may":[42,85],"interfere":[43],"with":[44,119,184],"representation":[46],"IDs,":[48],"resulting":[49],"negative":[51],"effects,":[52],"while":[53],"late":[54],"misses":[56],"effective":[57],"interactions":[58],"between":[59,151],"information.":[63],"Some":[64],"have":[67],"been":[68],"proposed":[69],"address":[71],"these":[72],"issues,":[73],"but":[74],"they":[75],"only":[76],"utilize":[77],"calculating":[81],"attention":[82,138],"scores,":[83],"which":[84],"lead":[86],"loss.":[89],"To":[90],"harness":[91],"full":[93,176],"potential":[94],"without":[98,182],"noisy":[99,134],"interference,":[100],"we":[101,126,141,198],"propose":[102],"<u>A</u>ligned":[104],"<u>S</u>ide":[105],"<u>I</u>nformation":[106],"<u>F</u>usion":[107],"(ASIF)":[108],"method":[109],"for":[110],"sequential":[111],"recommendation,":[112],"consisting":[113],"two":[115],"parts:":[116],"Fused":[117],"Attention":[118],"Untied":[120],"Positions":[121],"Representation":[123],"Alignment.":[124],"Specifically,":[125],"first":[127],"decouple":[128],"positions":[130],"exclude":[132],"interference":[135],"scores.":[139],"Secondly,":[140],"adopt":[142],"contrastive":[144],"objective":[145],"maintain":[147],"semantic":[149],"consistency":[150],"then":[157],"employ":[158],"orthogonal":[159],"decomposition":[160],"extract":[162],"homogeneous":[164],"parts.":[165],"By":[166],"aligning":[167],"representations":[169],"fusing":[171],"them":[172],"together,":[173],"ASIF":[174],"makes":[175],"use":[177],"interfering":[183],"IDs.":[185],"Offline":[186],"experimental":[187],"results":[188],"on":[189,213],"four":[190],"datasets":[191],"demonstrate":[192],"superiority":[194],"ASIF.":[196],"Additionally,":[197],"successfully":[199],"deployed":[200],"model":[202],"Alipay's":[204],"advertising":[205],"system":[206],"achieved":[208],"1.09%":[209],"1.86%":[211],"improvements":[212],"clicks":[214],"Cost":[216],"Per":[217],"Mille":[218],"(CPM).":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
