{"id":"https://openalex.org/W2625746539","doi":"https://doi.org/10.1145/3109859.3109896","title":"Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks","display_name":"Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks","publication_year":2017,"publication_date":"2017-08-24","ids":{"openalex":"https://openalex.org/W2625746539","doi":"https://doi.org/10.1145/3109859.3109896","mag":"2625746539"},"language":"en","primary_location":{"id":"doi:10.1145/3109859.3109896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.04148","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Massimo Quadrana","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Massimo Quadrana","raw_affiliation_strings":["Politecnico di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alexandros Karatzoglou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alexandros Karatzoglou","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bal\u00e1zs Hidasi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bal\u00e1zs Hidasi","raw_affiliation_strings":["Gravity R&D, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Gravity R&D, Budapest, Hungary","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Paolo Cremonesi","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Cremonesi","raw_affiliation_strings":["Politecnico di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":68.7944,"has_fulltext":false,"cited_by_count":564,"citation_normalized_percentile":{"value":0.99908873,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9866999983787537,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9839000105857849,"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.9136000275611877},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.4918000102043152},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3887999951839447},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.311599999666214},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3098999857902527},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.30869999527931213}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.9136000275611877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8194000124931335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932999849319458},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.4918000102043152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4514000117778778},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.30869999527931213},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26579999923706055}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3109859.3109896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.04148","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.04148","pdf_url":"https://arxiv.org/pdf/1706.04148","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"},{"id":"pmh:oai:re.public.polimi.it:11311/1085565","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1085565","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.04148","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.04148","pdf_url":"https://arxiv.org/pdf/1706.04148","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1598796236","https://openalex.org/W1976999215","https://openalex.org/W1993378086","https://openalex.org/W2042281163","https://openalex.org/W2064675550","https://openalex.org/W2066611560","https://openalex.org/W2159094788","https://openalex.org/W2262817822","https://openalex.org/W2469952266","https://openalex.org/W2512965516","https://openalex.org/W2583674722","https://openalex.org/W2998508934","https://openalex.org/W2998993395"],"related_works":[],"abstract_inverted_index":{"Session-based":[0],"recommendations":[1],"are":[2,39,45,52],"highly":[3],"relevant":[4],"in":[5,28,32,48],"many":[6,33],"modern":[7],"on-line":[8],"services":[9],"(e.g.":[10],"e-commerce,":[11],"video":[12],"streaming)":[13],"and":[14,68],"recommendation":[15,35],"settings.":[16,30],"Recently,":[17],"Recurrent":[18],"Neural":[19],"Networks":[20],"have":[21],"been":[22],"shown":[23],"to":[24,41,60],"perform":[25],"very":[26],"well":[27],"session-based":[29,34],"While":[31],"domains":[36,47],"user":[37,50,85],"identifiers":[38],"hard":[40],"come":[42],"by,":[43],"there":[44],"also":[46],"which":[49],"profiles":[51],"readily":[53],"available.":[54],"We":[55],"propose":[56],"a":[57,70],"seamless":[58],"way":[59],"personalize":[61],"RNN":[62,72],"models":[63],"with":[64],"cross-session":[65],"information":[66],"transfer":[67],"devise":[69],"Hierarchical":[71],"model":[73],"that":[74],"relays":[75],"end":[76],"evolves":[77],"latent":[78],"hidden":[79],"states":[80],"of":[81],"the":[82,96],"RNNs":[83],"across":[84],"sessions.":[86],"Results":[87],"on":[88],"two":[89],"industry":[90],"datasets":[91],"show":[92],"large":[93],"improvements":[94],"over":[95],"session-only":[97],"RNNs.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":66},{"year":2024,"cited_by_count":85},{"year":2023,"cited_by_count":96},{"year":2022,"cited_by_count":103},{"year":2021,"cited_by_count":67},{"year":2020,"cited_by_count":55},{"year":2019,"cited_by_count":54},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2017-06-23T00:00:00"}