{"id":"https://openalex.org/W2896385835","doi":"https://doi.org/10.1145/3269206.3271782","title":"Modeling Sequential Online Interactive Behaviors with Temporal Point Process","display_name":"Modeling Sequential Online Interactive Behaviors with Temporal Point Process","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2896385835","doi":"https://doi.org/10.1145/3269206.3271782","mag":"2896385835"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3271782","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","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/A5067853952","display_name":"Renqin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Renqin Cai","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103877293","display_name":"Xueying Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueying Bai","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036888533","display_name":"Zhenrui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenrui Wang","raw_affiliation_strings":["WalmartLabs, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"WalmartLabs, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071832661","display_name":"Yuling Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuling Shi","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001811638","display_name":"Parikshit Sondhi","orcid":null},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parikshit Sondhi","raw_affiliation_strings":["WalmartLabs, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"WalmartLabs, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067853952"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":4.4604,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95364742,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"873","last_page":"882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9275000095367432,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8262871503829956},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7029167413711548},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6047849059104919},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5076090097427368},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5072469115257263},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5046783685684204},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4250168800354004},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3711755871772766},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.331279456615448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32398471236228943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8262871503829956},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7029167413711548},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6047849059104919},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5076090097427368},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5072469115257263},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5046783685684204},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4250168800354004},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3711755871772766},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.331279456615448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32398471236228943},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3269206.3271782","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1485657187","https://openalex.org/W1724705265","https://openalex.org/W1838102683","https://openalex.org/W1951891667","https://openalex.org/W1975409939","https://openalex.org/W1994099982","https://openalex.org/W2051963836","https://openalex.org/W2060377179","https://openalex.org/W2064758233","https://openalex.org/W2064817422","https://openalex.org/W2069849731","https://openalex.org/W2101645017","https://openalex.org/W2104255729","https://openalex.org/W2106219058","https://openalex.org/W2108168165","https://openalex.org/W2112769706","https://openalex.org/W2113363259","https://openalex.org/W2124589355","https://openalex.org/W2125771191","https://openalex.org/W2140387367","https://openalex.org/W2144256475","https://openalex.org/W2149590690","https://openalex.org/W2164278908","https://openalex.org/W2262817822","https://openalex.org/W2401267531","https://openalex.org/W2509830164","https://openalex.org/W2510516734","https://openalex.org/W2515413370","https://openalex.org/W2585379441","https://openalex.org/W2585519298","https://openalex.org/W2604525406","https://openalex.org/W2767609682","https://openalex.org/W2795931350","https://openalex.org/W2949274928","https://openalex.org/W2964044287","https://openalex.org/W2998658549","https://openalex.org/W3041214984","https://openalex.org/W3101614988","https://openalex.org/W3104314953","https://openalex.org/W3141863022","https://openalex.org/W4206698392","https://openalex.org/W4230906481","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2392606101"],"abstract_inverted_index":{"The":[0],"massively":[1],"available":[2],"data":[3],"about":[4,16],"user":[5,24,113,145,178],"engagement":[6],"with":[7],"online":[8],"information":[9],"service":[10],"systems":[11],"provides":[12,184],"a":[13,67,83,88,104,125,142,171],"gold":[14],"mine":[15],"users'":[17,37,57,80],"latent":[18],"intents.":[19],"It":[20,74,147],"calls":[21],"for":[22,186],"quantitative":[23],"behavior":[25],"modeling.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30,65],"study":[31],"the":[32,43,76,93,129,136,155,158,161,165,176],"problem":[33],"by":[34,42,62],"looking":[35],"into":[36],"sequential":[38],"interactive":[39],"behaviors.":[40,146],"Inspired":[41],"concepts":[44],"of":[45,85,101,131,144,160],"episodic":[46],"memory":[47,50],"and":[48,69,92,122,157,183],"semantic":[49],"in":[51,134,141,153,170],"cognitive":[52],"psychology,":[53],"which":[54],"describe":[55],"how":[56],"behaviors":[58],"are":[59],"differently":[60],"influenced":[61],"past":[63],"experience,":[64],"propose":[66],"Long-":[68],"Short-term":[70],"Hawkes":[71,90,107],"Process":[72],"model.":[73],"models":[75],"short-term":[77],"dependency":[78,95,138,167],"between":[79,96,139,168],"actions":[81,97,140,169],"within":[82],"period":[84],"time":[86,102,159],"via":[87,103],"multi-dimensional":[89],"process":[91],"long-term":[94],"across":[98],"different":[99],"periods":[100],"one":[105,123],"dimensional":[106],"process.":[108],"Experiments":[109],"on":[110,175],"two":[111],"real-world":[112],"activity":[114],"log":[115],"datasets":[116],"(one":[117],"from":[118,124],"an":[119],"e-commerce":[120],"website":[121],"MOOC":[126],"website)":[127],"demonstrate":[128],"effectiveness":[130],"our":[132],"model":[133],"capturing":[135],"temporal":[137],"sequence":[143,172],"directly":[148],"leads":[149],"to":[150],"improved":[151],"accuracy":[152],"predicting":[154],"type":[156],"next":[162],"action.":[163],"Interestingly,":[164],"inferred":[166],"sheds":[173],"light":[174],"underlying":[177],"intent":[179],"behind":[180],"direct":[181],"observations":[182],"insights":[185],"downstream":[187],"applications.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
