{"id":"https://openalex.org/W4409657404","doi":"https://doi.org/10.1145/3696410.3714572","title":"Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation","display_name":"Reembedding and Reweighting are Needed for Tail Item Sequential Recommendation","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657404","doi":"https://doi.org/10.1145/3696410.3714572"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714572","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714572","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 ACM on Web Conference 2025","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/10.1145/3696410.3714572","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053356951","display_name":"Zihao Li","orcid":"https://orcid.org/0000-0002-1802-4284"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zihao Li","raw_affiliation_strings":["Australian Artificial Intelligence Institute, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, Sydney, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691881","display_name":"Yakun Chen","orcid":"https://orcid.org/0000-0002-8331-3410"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yakun Chen","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378764","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0001-8043-237X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076107706","display_name":"Xianzhi Wang","orcid":"https://orcid.org/0000-0001-9582-3445"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianzhi Wang","raw_affiliation_strings":["Australian Artificial Intelligence Institute, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, Sydney, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053356951"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2508,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90387731,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4925","last_page":"4936"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7347394824028015},{"id":"https://openalex.org/keywords/long-tail","display_name":"Long tail","score":0.5021464824676514},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17501986026763916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12821021676063538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347394824028015},{"id":"https://openalex.org/C15189868","wikidata":"https://www.wikidata.org/wiki/Q534685","display_name":"Long tail","level":2,"score":0.5021464824676514},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17501986026763916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12821021676063538}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714572","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714572","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 ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714572","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714572","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714572","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 ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657404.pdf","grobid_xml":"https://content.openalex.org/works/W4409657404.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1964105999","https://openalex.org/W2103012681","https://openalex.org/W2148437670","https://openalex.org/W2171279286","https://openalex.org/W2763110165","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2963367478","https://openalex.org/W2966483207","https://openalex.org/W2971196067","https://openalex.org/W2990138404","https://openalex.org/W3026319246","https://openalex.org/W3065542300","https://openalex.org/W3100260481","https://openalex.org/W3101707147","https://openalex.org/W3103897518","https://openalex.org/W3129186620","https://openalex.org/W4283205337","https://openalex.org/W4290944002","https://openalex.org/W4293585414","https://openalex.org/W4296591867","https://openalex.org/W4306317228","https://openalex.org/W4321485439","https://openalex.org/W4384648968","https://openalex.org/W4384656781","https://openalex.org/W4385571528","https://openalex.org/W4386275774","https://openalex.org/W4386729004","https://openalex.org/W4386729952","https://openalex.org/W4387846171","https://openalex.org/W4389520443","https://openalex.org/W4392384468","https://openalex.org/W4402606238","https://openalex.org/W4403577317","https://openalex.org/W4403577524","https://openalex.org/W4403582703","https://openalex.org/W6600175564","https://openalex.org/W6630221451"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Applying":[0],"large":[1,6,220],"vision":[2],"models":[3,8,32],"(LVMs)":[4],"and":[5,87,98,114,183,211],"language":[7],"(LLMs)":[9],"for":[10,16,84,108,173],"item":[11,130,154],"embedding":[12,131],"is":[13,145,184,224],"becoming":[14],"cutting-edge":[15],"sequential":[17],"recommendation,":[18],"given":[19],"their":[20,26],"success":[21],"in":[22,96,147,193,208],"broad":[23],"applications.":[24],"Despite":[25],"advantages":[27],"over":[28],"traditional":[29],"approaches,":[30],"these":[31],"suffer":[33],"more":[34,164,180],"significant":[35],"performance":[36,210,214],"degradation":[37],"on":[38,72,198,215],"tail":[39,85,109,129,167,216],"items":[40,75,168,217],"against":[41],"conventional":[42],"ID-based":[43],"solutions,":[44],"which":[45,151],"are":[46],"largely":[47],"overlooked":[48],"by":[49,218],"recent":[50],"research.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,127],"substantiate":[56],"the":[57,65,73,93,101,123,148,160,188,213],"above":[58,124],"challenges":[59],"as":[60],"(1)":[61],"all-in":[62],"ground-truth,":[63],"i.e.,":[64,92],"standard":[66],"cross-entropy":[67],"(CE)":[68],"loss":[69],"focuses":[70],"solely":[71],"target":[74],"while":[76],"treating":[77],"all":[78],"non-ground-truth":[79],"equally,":[80],"causing":[81],"insufficient":[82,106],"optimization":[83,102,182,191],"items,":[86],"(2)":[88],"knowledge":[89,94,138],"transfer":[90,139],"tax,":[91],"encapsulated":[95],"LLMs":[97],"LVMs":[99],"dominates":[100],"process":[103],"due":[104],"to":[105,121,136,158,162,166,187],"training":[107,157],"items.":[110],"We":[111],"propose":[112],"Rewarding":[113],"reembedding,":[115],"a":[116,133,142,179,219],"simple":[117],"yet":[118],"efficient":[119],"method":[120,177,204],"address":[122],"challenges.":[125],"Specifically,":[126],"reinitialize":[128],"via":[132],"Gaussian":[134],"distribution":[135],"alleviate":[137],"tax;":[140],"besides,":[141],"rewarding":[143],"function":[144],"incorporated":[146],"CE":[149],"loss,":[150],"adaptively":[152],"adjusts":[153],"rewards":[155],"during":[156],"encourage":[159],"model":[161],"pay":[163],"attention":[165],"rather":[169],"than":[170],"exclusively":[171],"optimizing":[172],"ground-truth.":[174],"Overall,":[175],"our":[176,203],"enables":[178],"nuanced":[181],"mathematically":[185],"comparable":[186],"direct":[189],"preference":[190],"(DPO)":[192],"LLMs.":[194],"Our":[195,222],"extensive":[196],"experiments":[197],"three":[199],"public":[200],"datasets":[201],"show":[202],"outperforms":[205],"fourteen":[206],"baselines":[207],"overall":[209],"improves":[212],"margin.":[221],"code":[223],"available":[225],"at":[226],"https://github.com/Yuhanleeee/R2Rec.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
