{"id":"https://openalex.org/W4385567621","doi":"https://doi.org/10.1145/3580305.3599932","title":"Workplace Recommendation with Temporal Network Objectives","display_name":"Workplace Recommendation with Temporal Network Objectives","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567621","doi":"https://doi.org/10.1145/3580305.3599932"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599932","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th 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/A5077023880","display_name":"Kiran Tomlinson","orcid":"https://orcid.org/0000-0002-0300-0845"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kiran Tomlinson","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010290944","display_name":"J. Neville","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Neville","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057330200","display_name":"Longqi Yang","orcid":"https://orcid.org/0000-0002-6615-8615"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longqi Yang","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046172814","display_name":"Mengting Wan","orcid":"https://orcid.org/0000-0002-5298-1221"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengting Wan","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001643178","display_name":"Cao Lu","orcid":"https://orcid.org/0009-0006-5244-1600"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cao Lu","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077023880"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":1.8266,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8829743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4958","last_page":"4969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.847667396068573},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6676595211029053},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5467705130577087},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4994380474090576},{"id":"https://openalex.org/keywords/information-flow","display_name":"Information flow","score":0.4964373707771301},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.48257437348365784},{"id":"https://openalex.org/keywords/work-flow","display_name":"Work flow","score":0.46212005615234375},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45915618538856506},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.4488598704338074},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4129215180873871},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3507536053657532},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17385676503181458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1414441466331482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847667396068573},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6676595211029053},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5467705130577087},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4994380474090576},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.4964373707771301},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.48257437348365784},{"id":"https://openalex.org/C2985179714","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Work flow","level":2,"score":0.46212005615234375},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45915618538856506},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.4488598704338074},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4129215180873871},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3507536053657532},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17385676503181458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1414441466331482},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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:10.1145/3580305.3599932","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1580292412","https://openalex.org/W1965925713","https://openalex.org/W1992549066","https://openalex.org/W2026030034","https://openalex.org/W2039864426","https://openalex.org/W2082195599","https://openalex.org/W2086511124","https://openalex.org/W2086991377","https://openalex.org/W2109469951","https://openalex.org/W2112580560","https://openalex.org/W2125349172","https://openalex.org/W2143908786","https://openalex.org/W2164641477","https://openalex.org/W2166531833","https://openalex.org/W2244843312","https://openalex.org/W2270368980","https://openalex.org/W2475334473","https://openalex.org/W2612690371","https://openalex.org/W2773385331","https://openalex.org/W2894183663","https://openalex.org/W2900697250","https://openalex.org/W2941681448","https://openalex.org/W2952557143","https://openalex.org/W2962936633","https://openalex.org/W2963367478","https://openalex.org/W2979080995","https://openalex.org/W3017402183","https://openalex.org/W3043590771","https://openalex.org/W3045635324","https://openalex.org/W3047739229","https://openalex.org/W3088203142","https://openalex.org/W3090114880","https://openalex.org/W3102945079","https://openalex.org/W3115486700","https://openalex.org/W3120855309","https://openalex.org/W3137220996","https://openalex.org/W3166345863","https://openalex.org/W3174082502","https://openalex.org/W3209048663","https://openalex.org/W3211738366","https://openalex.org/W3214830073","https://openalex.org/W4212774754","https://openalex.org/W4224310737","https://openalex.org/W4285252216","https://openalex.org/W4287114832","https://openalex.org/W4299975359","https://openalex.org/W6783961830"],"related_works":["https://openalex.org/W1992503747","https://openalex.org/W2371519816","https://openalex.org/W2043154226","https://openalex.org/W2369529107","https://openalex.org/W2329043542","https://openalex.org/W2109948066","https://openalex.org/W2385848173","https://openalex.org/W2372675366","https://openalex.org/W2383687139","https://openalex.org/W2352253383"],"abstract_inverted_index":{"Workplace":[0],"communication":[1,52,139,173],"software":[2],"such":[3],"as":[4],"Microsoft":[5,142,150],"Teams,":[6,151],"Slack,":[7],"and":[8,87,106,117,147,152],"Google":[9],"Workspace":[10],"have":[11,40,69],"become":[12],"integral":[13],"to":[14,19,29,43,164],"workplace":[15],"collaboration,":[16],"especially":[17],"due":[18],"the":[20,41,123,166,171],"rise":[21],"of":[22,91,102,127,138,168],"remote":[23],"work.":[24],"By":[25],"making":[26],"it":[27],"easier":[28],"access":[30],"relevant":[31],"or":[32],"useful":[33],"information,":[34],"recommender":[35],"systems":[36],"for":[37,115,125],"these":[38,68,128],"platforms":[39],"potential":[42,124],"improve":[44,183],"efficient":[45,108],"cross-team":[46,118,184],"information":[47,81,104,119,185],"flow":[48,105,186],"through":[49,144],"a":[50,89,131,189],"company's":[51],"network.":[53,174],"While":[54],"there":[55],"has":[56],"been":[57],"some":[58],"recent":[59],"work":[60],"on":[61,71,79,130,149,155,170],"recommendation":[62,110,179],"approaches":[63,129],"that":[64,112,177],"optimize":[65,114],"network":[66],"objectives,":[67],"focused":[70],"static":[72],"graphs.":[73],"In":[74],"this":[75],"work,":[76],"we":[77,98],"focus":[78],"optimizing":[80],"flow,":[82],"which":[83],"is":[84],"highly":[85],"temporal":[86,103,172],"presents":[88],"number":[90],"novel":[92],"algorithmic":[93],"challenges.":[94],"To":[95],"overcome":[96],"these,":[97],"develop":[99],"tractable":[100],"measures":[101],"design":[107,158],"online":[109],"algorithms":[111,180],"jointly":[113],"relevance":[116,194],"flow.":[120],"We":[121,157,175],"demonstrate":[122],"impact":[126],"rich":[132],"multi-modal":[133],"dataset":[134],"capturing":[135],"one":[136],"month":[137],"between":[140],"180k":[141],"employees":[143],"email,":[145],"chats":[146],"posts":[148],"file":[153],"sharing":[154],"SharePoint.":[156],"an":[159],"offline":[160],"model-based":[161],"evaluation":[162],"pipeline":[163],"estimate":[165],"effects":[167],"recommendations":[169],"show":[176],"our":[178],"can":[181],"significantly":[182],"with":[187],"only":[188],"small":[190],"decrease":[191],"in":[192],"traditional":[193],"metrics.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}