{"id":"https://openalex.org/W2983322232","doi":"https://doi.org/10.1145/3359555.3359558","title":"Robust contextual models for in-session personalization","display_name":"Robust contextual models for in-session personalization","publication_year":2019,"publication_date":"2019-09-20","ids":{"openalex":"https://openalex.org/W2983322232","doi":"https://doi.org/10.1145/3359555.3359558","mag":"2983322232"},"language":"en","primary_location":{"id":"doi:10.1145/3359555.3359558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359555.3359558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on ACM Recommender Systems Challenge","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/A5027341076","display_name":"Maksims Volkovs","orcid":"https://orcid.org/0009-0007-0561-2187"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maksims Volkovs","raw_affiliation_strings":["Layer 6 AI"],"affiliations":[{"raw_affiliation_string":"Layer 6 AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002662473","display_name":"Anson Wong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anson Wong","raw_affiliation_strings":["Layer 6 AI"],"affiliations":[{"raw_affiliation_string":"Layer 6 AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062856371","display_name":"Zhaoyue Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoyue Cheng","raw_affiliation_strings":["Layer 6 AI"],"affiliations":[{"raw_affiliation_string":"Layer 6 AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108282056","display_name":"Felipe P\u00e9rez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felipe P\u00e9rez","raw_affiliation_strings":["Layer 6 AI"],"affiliations":[{"raw_affiliation_string":"Layer 6 AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073399203","display_name":"Ilya Stanevich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ilya Stanevich","raw_affiliation_strings":["Layer 6 AI"],"affiliations":[{"raw_affiliation_string":"Layer 6 AI","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089283502","display_name":"Yichao Lu","orcid":"https://orcid.org/0009-0001-2005-1724"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yichao Lu","raw_affiliation_strings":["Layer 6 AI"],"affiliations":[{"raw_affiliation_string":"Layer 6 AI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027341076"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7131,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92216487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11122","display_name":"Online Learning and Analytics","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.995199978351593,"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/session","display_name":"Session (web analytics)","score":0.8906732201576233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.781183123588562},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6107067465782166},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.5980350375175476},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.585632860660553},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5746567845344543},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4819462299346924},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.45759305357933044},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.44975394010543823},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4249763488769531},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.42194488644599915},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3653976321220398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32964015007019043},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32388031482696533}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8906732201576233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781183123588562},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6107067465782166},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.5980350375175476},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.585632860660553},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5746567845344543},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4819462299346924},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.45759305357933044},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.44975394010543823},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4249763488769531},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.42194488644599915},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3653976321220398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32964015007019043},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32388031482696533},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3359555.3359558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359555.3359558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on ACM Recommender Systems Challenge","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2076618162","https://openalex.org/W2082137964","https://openalex.org/W2101409192","https://openalex.org/W2262817822","https://openalex.org/W2295598076","https://openalex.org/W2625746539","https://openalex.org/W2747833218","https://openalex.org/W2950813464","https://openalex.org/W2972778266","https://openalex.org/W3098231197","https://openalex.org/W3102476541","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2391753177","https://openalex.org/W2996284460","https://openalex.org/W4298337043","https://openalex.org/W2125652721","https://openalex.org/W1966306316","https://openalex.org/W1540371141","https://openalex.org/W3096801289","https://openalex.org/W4231510080","https://openalex.org/W146601322","https://openalex.org/W3045444188"],"abstract_inverted_index":{"Most":[0],"online":[1,16],"activity":[2,39],"happens":[3],"in":[4,89,122],"the":[5,46,55,62,127],"context":[6],"of":[7,71,112],"a":[8,90],"session;":[9],"to":[10,19,31,65,81],"enable":[11],"better":[12],"user":[13],"experience":[14],"many":[15],"platforms":[17],"aim":[18],"dynamically":[20],"refine":[21],"their":[22],"recommendations":[23,34],"as":[24],"sessions":[25,88],"progress.":[26],"A":[27],"popular":[28],"approach":[29,80,134],"is":[30],"continuously":[32],"re-rank":[33],"based":[35],"on":[36],"current":[37],"session":[38,42,56],"and":[40,92,95,100],"past":[41],"logs.":[43],"This":[44],"motivates":[45],"2019":[47],"ACM":[48],"RecSys":[49],"Challenge":[50],"organised":[51],"by":[52,60],"Trivago.":[53],"Using":[54],"log":[57],"dataset":[58],"released":[59],"Trivago,":[61],"challenge":[63,83],"aims":[64],"benchmark":[66],"models":[67,103],"for":[68,104,132],"in-session":[69],"re-ranking":[70],"hotel":[72],"recommendations.":[73],"In":[74],"this":[75,82],"paper":[76],"we":[77,85],"present":[78],"our":[79,133],"where":[84],"first":[86],"contextualize":[87],"global":[91],"local":[93],"manner,":[94],"then":[96],"train":[97],"gradient":[98],"boosting":[99],"deep":[101],"learning":[102],"re-ranking.":[105],"Our":[106],"team":[107],"achieved":[108],"2nd":[109],"place":[110,129],"out":[111],"over":[113],"570":[114],"teams,":[115],"with":[116],"less":[117],"than":[118],"0.3%":[119],"relative":[120],"difference":[121],"Mean":[123],"Reciprocal":[124],"Rank":[125],"from":[126],"1st":[128],"team.":[130],"Code":[131],"can":[135],"be":[136],"found":[137],"here:":[138],"https://github.com/layer6ai-labs/RecSys2019":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
