{"id":"https://openalex.org/W4381163968","doi":"https://doi.org/10.1145/3565472.3592965","title":"Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations","display_name":"Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4381163968","doi":"https://doi.org/10.1145/3565472.3592965"},"language":"en","primary_location":{"id":"doi:10.1145/3565472.3592965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565472.3592965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization","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/A5059580001","display_name":"Giuseppe Spillo","orcid":"https://orcid.org/0000-0001-8345-4232"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giuseppe Spillo","raw_affiliation_strings":["","University of Bari Aldo Moro Bari, Italy"],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"University of Bari Aldo Moro Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052446168","display_name":"Cataldo Musto","orcid":"https://orcid.org/0000-0001-6089-928X"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cataldo Musto","raw_affiliation_strings":["","University of Bari Aldo Moro Bari, Italy"],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"University of Bari Aldo Moro Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014793020","display_name":"Marco Polignano","orcid":"https://orcid.org/0000-0002-3939-0136"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Polignano","raw_affiliation_strings":["","University of Bari Aldo Moro Bari, Italy"],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"University of Bari Aldo Moro Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011978745","display_name":"Pasquale Lops","orcid":"https://orcid.org/0000-0002-6866-9451"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pasquale Lops","raw_affiliation_strings":["","University of Bari Aldo Moro Bari, Italy"],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"University of Bari Aldo Moro Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020864885","display_name":"Marco de Gemmis","orcid":"https://orcid.org/0000-0002-2007-9559"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco de Gemmis","raw_affiliation_strings":["","University of Bari Aldo Moro Bari, Italy"],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"University of Bari Aldo Moro Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059814300","display_name":"Giovanni Semeraro","orcid":"https://orcid.org/0000-0001-6883-1853"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Semeraro","raw_affiliation_strings":["","University of Bari Aldo Moro Bari, Italy"],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"University of Bari Aldo Moro Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059580001"],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":null,"apc_paid":null,"fwci":8.6071,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.97670609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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":0.8381978869438171},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6692831516265869},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6584630012512207},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.562310516834259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5584452748298645},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5571621060371399},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5487774014472961},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5115678906440735},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.49434900283813477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4239521920681},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4165806174278259},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37688469886779785},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2746315002441406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8381978869438171},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6692831516265869},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6584630012512207},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.562310516834259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5584452748298645},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5571621060371399},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5487774014472961},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5115678906440735},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.49434900283813477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4239521920681},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4165806174278259},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37688469886779785},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2746315002441406},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3565472.3592965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565472.3592965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},{"id":"pmh:oai:ricerca.uniba.it:11586/428682","is_oa":false,"landing_page_url":"https://hdl.handle.net/11586/428682","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"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":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7374840810","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320326082","display_name":"Regione Puglia","ror":"https://ror.org/039k11f95"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W948010811","https://openalex.org/W1965355809","https://openalex.org/W1987431925","https://openalex.org/W2023893046","https://openalex.org/W2054141820","https://openalex.org/W2097638479","https://openalex.org/W2144807535","https://openalex.org/W2246991072","https://openalex.org/W2283196293","https://openalex.org/W2339258924","https://openalex.org/W2341865734","https://openalex.org/W2411468944","https://openalex.org/W2480191706","https://openalex.org/W2509893387","https://openalex.org/W2604314403","https://openalex.org/W2618561563","https://openalex.org/W2728059831","https://openalex.org/W2774837955","https://openalex.org/W2801992635","https://openalex.org/W2855803919","https://openalex.org/W2882319491","https://openalex.org/W2885082092","https://openalex.org/W2897167574","https://openalex.org/W2907492528","https://openalex.org/W2908054697","https://openalex.org/W2911778742","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2962964995","https://openalex.org/W2963085847","https://openalex.org/W2963224980","https://openalex.org/W2963869731","https://openalex.org/W2963911286","https://openalex.org/W2981109095","https://openalex.org/W2985445767","https://openalex.org/W3008374555","https://openalex.org/W3021224225","https://openalex.org/W3023672669","https://openalex.org/W3045200674","https://openalex.org/W3046588732","https://openalex.org/W3099387504","https://openalex.org/W3100278010","https://openalex.org/W3106439716","https://openalex.org/W3128377769","https://openalex.org/W3167434385","https://openalex.org/W3175170601","https://openalex.org/W3198960090","https://openalex.org/W4205791703","https://openalex.org/W4226237846","https://openalex.org/W4239019441","https://openalex.org/W4241521408","https://openalex.org/W4251560691"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147","https://openalex.org/W2275988210"],"abstract_inverted_index":{"In":[0,24,168],"this":[1],"paper,":[2],"we":[3,65,91,172],"present":[4],"a":[5,41,93,102,118,145,151,164],"strategy":[6],"to":[7,58,71,100,130,139,162],"provide":[8,51],"users":[9,81],"with":[10],"knowledge-aware":[11],"recommendations":[12],"based":[13,104],"on":[14,29,98,105],"the":[15,30,78,88,109,132,135,142,157,169,181],"combination":[16],"of":[17,87,153],"graph":[18,43,68],"neural":[19,69,120,146],"networks":[20,70],"and":[21,44,54,82,84,125,138,180],"sentence":[22,94],"encoders.":[23],"particular,":[25],"our":[26,185],"approach":[27,186],"relies":[28,97],"intuition":[31],"that":[32,96,184],"different":[33],"data":[34,38],"sources":[35],"(i.e.,":[36],"structured":[37,85],"available":[39],"in":[40,156],"knowledge":[42],"unstructured":[45],"data,":[46],"such":[47,76],"as":[48,77,149],"textual":[49,106],"content)":[50],"complementary":[52],"information":[53],"can":[55],"equally":[56],"contribute":[57],"learn":[59,101,131],"an":[60,175],"accurate":[61],"item":[62],"representation.":[63,143],"Accordingly,":[64],"first":[66],"exploited":[67],"encode":[72],"both":[73,123],"collaborative":[74],"features,":[75],"interactions":[79],"between":[80,134],"items,":[83,158],"properties":[86],"items.":[89,110],"Next,":[90],"used":[92,129,161],"encoder":[95],"transformers":[99],"representation":[103],"content":[107],"describing":[108],"Finally,":[111],"these":[112],"embeddings":[113,137],"are":[114,128],"combined":[115],"by":[116],"exploiting":[117],"deep":[119],"network":[121,147],"where":[122],"self-attention":[124],"cross-attention":[126],"mechanisms":[127],"relationships":[133],"initial":[136],"further":[140],"refine":[141],"Such":[144],"provides":[148],"output":[150],"prediction":[152],"users\u2019":[154],"interest":[155],"which":[159],"is":[160],"return":[163],"top-k":[165],"recommendation":[166],"list.":[167],"experimental":[170],"evaluation,":[171],"carried":[173],"out":[174],"experiment":[176],"against":[177],"two":[178],"datasets,":[179],"results":[182],"showed":[183],"overcame":[187],"several":[188],"competitive":[189],"baselines.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}