{"id":"https://openalex.org/W4290927751","doi":"https://doi.org/10.1145/3534678.3539042","title":"NxtPost: User To Post Recommendations In Facebook Groups","display_name":"NxtPost: User To Post Recommendations In Facebook Groups","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290927751","doi":"https://doi.org/10.1145/3534678.3539042"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539042","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","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/A5078159321","display_name":"Kaushik Rangadurai","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":true,"raw_author_name":"Kaushik Rangadurai","raw_affiliation_strings":["Meta Platforms Inc., Menlo Park, CA, USA"],"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/A5100668121","display_name":"Yiqun Liu","orcid":"https://orcid.org/0000-0002-0140-4512"},"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":"Yiqun Liu","raw_affiliation_strings":["Meta Platforms Inc., Menlo Park, CA, USA"],"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/A5082984518","display_name":"Siddarth Malreddy","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":"Siddarth Malreddy","raw_affiliation_strings":["Meta Platforms Inc., Menlo Park, CA, USA"],"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/A5100667626","display_name":"Xiaoyi Liu","orcid":"https://orcid.org/0000-0001-7412-8080"},"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":"Xiaoyi Liu","raw_affiliation_strings":["Meta Platforms Inc., Menlo Park, CA, USA"],"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/A5111466882","display_name":"Piyush Maheshwari","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":"Piyush Maheshwari","raw_affiliation_strings":["Meta Platforms Inc., Menlo Park, CA, USA"],"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/A5066766251","display_name":"Vishwanath Sangale","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":"Vishwanath Sangale","raw_affiliation_strings":["Meta Platforms Inc., Menlo Park, CA, USA"],"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/A5079826085","display_name":"Fedor Borisyuk","orcid":"https://orcid.org/0009-0005-8171-7656"},"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":"Fedor Borisyuk","raw_affiliation_strings":["Meta Platforms Inc., Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta Platforms Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5078159321"],"corresponding_institution_ids":["https://openalex.org/I4210114444"],"apc_list":null,"apc_paid":null,"fwci":0.8739,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75696056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3792","last_page":"3800"},"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/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9905999898910522,"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":0.8285696506500244},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7811875343322754},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6464859247207642},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5854576230049133},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5197919607162476},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46628519892692566},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.4409123659133911},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.40724706649780273},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34410715103149414},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33263298869132996},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1970863938331604},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.09414419531822205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8285696506500244},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7811875343322754},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6464859247207642},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5854576230049133},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5197919607162476},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46628519892692566},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.4409123659133911},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.40724706649780273},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34410715103149414},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33263298869132996},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1970863938331604},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.09414419531822205},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3539042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539042","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2042281163","https://openalex.org/W2082927600","https://openalex.org/W2099866409","https://openalex.org/W2136189984","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2807021761","https://openalex.org/W2969985801","https://openalex.org/W2984100107","https://openalex.org/W3100848837","https://openalex.org/W3167329294","https://openalex.org/W3171464050"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W2374808384","https://openalex.org/W3177075132","https://openalex.org/W4304700937"],"abstract_inverted_index":{"In":[0,83],"this":[1],"paper,":[2],"we":[3,23,90,103],"present":[4],"NxtPost,":[5],"a":[6,26,51,64,99,111,115,127,155],"deployed":[7],"user-to-post":[8],"content":[9,70],"based":[10,28,88],"sequential":[11,34,157],"recommender":[12,158],"system":[13],"for":[14,66,164],"Facebook":[15],"Groups.":[16],"Inspired":[17],"by":[18,56],"recent":[19],"advances":[20],"in":[21,123,153,180],"NLP,":[22],"have":[24,98],"adapted":[25],"Transformer":[27,87],"model":[29,163],"to":[30,62,73,85,109,114,169,176],"the":[31,67,75,95,141,162],"domain":[32],"of":[33,129],"recommendation.":[35],"We":[36,118],"explore":[37],"causal":[38],"masked":[39],"multi-head":[40],"attention":[41],"that":[42,94],"optimizes":[43],"both":[44],"short":[45],"and":[46,72,145,173],"long-term":[47],"user":[48,78],"interests.":[49],"From":[50],"user's":[52,68],"past":[53],"activities":[54],"validated":[55],"defined":[57],"safety":[58],"process,":[59],"NxtPost":[60,130],"seeks":[61],"learn":[63],"representation":[65],"dynamic":[69],"preference":[71],"predict":[74],"next":[76],"post":[77],"may":[79],"be":[80],"interested":[81],"in.":[82],"contrast":[84],"previous":[86],"methods,":[89],"do":[91],"not":[92],"assume":[93],"recommendable":[96],"posts":[97],"fixed":[100],"corpus.":[101],"Accordingly,":[102],"use":[104],"an":[105],"external":[106],"item/token":[107],"embedding":[108],"extend":[110],"sequence-based":[112],"approach":[113],"large":[116],"vocabulary.":[117],"achieve":[119],"49%":[120],"abs.":[121],"improvement":[122],"offline":[124],"evaluation.":[125],"As":[126],"result":[128],"deployment,":[131],"0.6%":[132],"more":[133],"users":[134],"are":[135],"meeting":[136],"new":[137],"people,":[138],"engaging":[139],"with":[140,171],"community,":[142],"sharing":[143],"knowledge":[144],"getting":[146],"support.":[147],"The":[148],"paper":[149],"shares":[150],"our":[151],"experience":[152],"developing":[154],"personalized":[156],"system,":[159],"lessons":[160],"deploying":[161],"cold":[165],"start":[166],"users,":[167],"how":[168],"deal":[170],"freshness,":[172],"tuning":[174],"strategies":[175],"reach":[177],"higher":[178],"efficiency":[179],"online":[181],"A/B":[182],"experiments.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
