{"id":"https://openalex.org/W4412876812","doi":"https://doi.org/10.1145/3711896.3737255","title":"Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation","display_name":"Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412876812","doi":"https://doi.org/10.1145/3711896.3737255"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3711896.3737255","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 SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.06239","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007995951","display_name":"J. J. Zhang","orcid":"https://orcid.org/0000-0002-6939-6061"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Zhang","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6939-6061","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112572864","display_name":"Sumit Kumar","orcid":"https://orcid.org/0009-0008-6812-9560"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumit Kumar","raw_affiliation_strings":["Meta Platforms, Inc., Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0009-0008-6812-9560","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Chang","orcid":"https://orcid.org/0009-0001-5758-7856"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Chang","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0001-5758-7856","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102751956","display_name":"Yubo Wang","orcid":"https://orcid.org/0000-0003-4871-5446"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yubo Wang","raw_affiliation_strings":["Meta Platforms, Inc., Bellevue, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4871-5446","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Bellevue, WA, USA","institution_ids":["https://openalex.org/I4210108985","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feng Zhang","orcid":"https://orcid.org/0009-0000-1085-9239"},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Meta Platforms, Inc., Austin, TX, USA"],"raw_orcid":"https://orcid.org/0009-0000-1085-9239","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Austin, TX, USA","institution_ids":["https://openalex.org/I4210092558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076463109","display_name":"Weize Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weize Mao","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0005-0386-3623","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028988765","display_name":"Hanchao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanchao Yu","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0000-4407-7796","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aashu Singh","orcid":"https://orcid.org/0009-0008-1371-261X"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aashu Singh","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0008-1371-261X","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Li","orcid":"https://orcid.org/0009-0001-9092-0198"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0001-9092-0198","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101774659","display_name":"Qifan Wang","orcid":"https://orcid.org/0000-0002-7570-5756"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qifan Wang","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7570-5756","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5194","last_page":"5204"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9975000023841858,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9947999715805054,"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":0.8178218603134155},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.7908371686935425},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7307652235031128},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6941773891448975},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6425496339797974},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5595770478248596},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.509231686592102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3553173243999481},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.25591129064559937},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.15896260738372803},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10794302821159363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8178218603134155},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.7908371686935425},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7307652235031128},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6941773891448975},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6425496339797974},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5595770478248596},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.509231686592102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3553173243999481},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.25591129064559937},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.15896260738372803},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10794302821159363},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3711896.3737255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3711896.3737255","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 SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.06239","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.06239","pdf_url":"https://arxiv.org/pdf/2506.06239","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.06239","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.06239","pdf_url":"https://arxiv.org/pdf/2506.06239","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1886704267","https://openalex.org/W1994389483","https://openalex.org/W1996283866","https://openalex.org/W2028247037","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2101409192","https://openalex.org/W2111138053","https://openalex.org/W2116206254","https://openalex.org/W2136189984","https://openalex.org/W2142144955","https://openalex.org/W2159094788","https://openalex.org/W2295739661","https://openalex.org/W2512971201","https://openalex.org/W2605350416","https://openalex.org/W2886144305","https://openalex.org/W2900229157","https://openalex.org/W2962680505","https://openalex.org/W2982902390","https://openalex.org/W3023045848","https://openalex.org/W3035264853","https://openalex.org/W3035635264","https://openalex.org/W3088301055","https://openalex.org/W3093519337","https://openalex.org/W3116048950","https://openalex.org/W3140399761","https://openalex.org/W3171608958","https://openalex.org/W3205238928","https://openalex.org/W4221030716","https://openalex.org/W4290927958","https://openalex.org/W4296591867","https://openalex.org/W4306317707","https://openalex.org/W4368755500","https://openalex.org/W4379933301","https://openalex.org/W4392366624","https://openalex.org/W4392367737","https://openalex.org/W4394994587","https://openalex.org/W4396723256","https://openalex.org/W4401857632","https://openalex.org/W6600103761","https://openalex.org/W6600213211","https://openalex.org/W6600339963","https://openalex.org/W6600655691","https://openalex.org/W6854506972"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W2001985945","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W1971071004","https://openalex.org/W1973132420","https://openalex.org/W2460037195","https://openalex.org/W2142731558","https://openalex.org/W2077213532","https://openalex.org/W2134013435"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,11,89,126,173,240],"item-to-item":[3],"(I2I)":[4],"retrieval":[5,51,113,150],"is":[6,24],"to":[7,41,74,81,184,191,203],"identify":[8],"a":[9,19,25,108,131,147,168,220],"set":[10],"relevant":[12,43,159],"and":[13,61,97,110,120,142,145,157,175,186,213,228],"highly":[14,155],"engaging":[15],"items":[16,36,40],"based":[17],"on":[18,58],"given":[20],"trigger":[21,39],"item.":[22],"It":[23],"crucial":[26],"component":[27],"in":[28,53],"modern":[29],"recommendation":[30,241],"systems,":[31],"where":[32],"users'":[33],"previously":[34],"engaged":[35],"serve":[37],"as":[38,93],"retrieve":[42],"content":[44,99],"for":[45,135,152,223,235],"future":[46],"engagement.":[47],"However,":[48],"existing":[49],"I2I":[50,112,149,226],"models":[52],"industry":[54],"are":[55],"primarily":[56],"built":[57],"co-engagement":[59,70,84],"data":[60,166],"optimized":[62],"using":[63,164],"the":[64,87,138,237],"recall":[65,119,141,181,227],"measure,":[66],"which":[67,231],"overly":[68],"emphasizes":[69],"patterns":[71],"while":[72],"failing":[73],"capture":[75],"semantic":[76,121,143,187,229],"relevance.":[77,122],"This":[78],"often":[79],"leads":[80],"overfitting":[82],"short-term":[83,210],"trends":[85],"at":[86],"expense":[88],"long-term":[90,214],"benefits":[91],"such":[92],"discovering":[94],"novel":[95],"interests":[96],"promoting":[98],"diversity.":[100],"To":[101],"address":[102],"this":[103],"challenge,":[104],"we":[105],"propose":[106],"MTMH,":[107],"Multi-Task":[109],"Multi-Head":[111],"model":[114,124],"that":[115,177,205],"achieves":[116],"both":[117,154,209],"high":[118],"Our":[123,217],"consists":[125],"two":[127],"key":[128],"components:":[129],"1)":[130],"multi-task":[132],"learning":[133],"loss":[134],"formally":[136],"optimizing":[137,225],"trade-off":[139],"between":[140],"relevance,":[144,230],"2)":[146],"multi-head":[148],"architecture":[151],"retrieving":[153],"co-engaged":[156],"semantically":[158],"items.":[160],"We":[161,198],"evaluate":[162],"MTMH":[163,206],"proprietary":[165],"from":[167],"commercial":[169],"platform":[170],"serving":[171],"billions":[172],"users":[174],"demonstrate":[176],"it":[178],"can":[179,207],"improve":[180],"by":[182,189],"up":[183,190],"14.4%":[185],"relevance":[188],"56.6%":[192],"compared":[193],"with":[194],"prior":[195],"state-of-the-art":[196],"models.":[197],"also":[199],"conduct":[200],"live":[201],"experiments":[202],"verify":[204],"enhance":[208],"consumption":[211],"metrics":[212],"user-experience-related":[215],"metrics.":[216],"work":[218],"provides":[219],"principled":[221],"approach":[222],"jointly":[224],"has":[232],"significant":[233],"implications":[234],"improving":[236],"overall":[238],"performance":[239],"systems.":[242]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
