{"id":"https://openalex.org/W4390188571","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361370","title":"A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation","display_name":"A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4390188571","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361370"},"language":"en","primary_location":{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361370","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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/A5101634083","display_name":"Dengfeng Liu","orcid":"https://orcid.org/0000-0002-6193-6641"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dengfeng Liu","raw_affiliation_strings":["National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650009","display_name":"Yitong Wang","orcid":"https://orcid.org/0000-0002-7559-4152"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitong Wang","raw_affiliation_strings":["Beijing Big Data Center,Beijing,China","Beijing Big Data Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Big Data Center,Beijing,China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Beijing Big Data Center, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066699855","display_name":"Fei Cai","orcid":"https://orcid.org/0000-0002-5709-1682"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Cai","raw_affiliation_strings":["National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101634083"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.4589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72565475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"0340","last_page":"0347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9970999956130981,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9803000092506409,"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/hypergraph","display_name":"Hypergraph","score":0.8040065765380859},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.787035346031189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7272895574569702},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5620459914207458},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5445783734321594},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5309543013572693},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5198283791542053},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5089802742004395},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5050199627876282},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4981210231781006},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47628870606422424},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.44233182072639465},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40744853019714355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3725493550300598},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32298189401626587},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26103758811950684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12466731667518616},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10548409819602966},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06939578056335449},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.06718477606773376}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8040065765380859},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.787035346031189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272895574569702},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5620459914207458},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5445783734321594},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5309543013572693},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5198283791542053},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5089802742004395},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5050199627876282},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4981210231781006},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47628870606422424},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.44233182072639465},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40744853019714355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3725493550300598},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32298189401626587},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26103758811950684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12466731667518616},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10548409819602966},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06939578056335449},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.06718477606773376},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361370","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2066705378","https://openalex.org/W2171279286","https://openalex.org/W2186482614","https://openalex.org/W2899457523","https://openalex.org/W2986515219","https://openalex.org/W3031331881","https://openalex.org/W3034329572","https://openalex.org/W3035666843","https://openalex.org/W3080292067","https://openalex.org/W3101707147","https://openalex.org/W3104355095","https://openalex.org/W3173365306","https://openalex.org/W4280545955","https://openalex.org/W4284686273","https://openalex.org/W6745761510"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2358294942","https://openalex.org/W4367460280"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1,57],"aims":[2],"to":[3,81,100,112],"generate":[4],"personalized":[5],"recommendations":[6],"based":[7,48],"on":[8,23,49],"user":[9],"behaviors":[10],"within":[11],"a":[12,45,64],"browsing":[13],"session.":[14],"The":[15,115],"traditional":[16],"graph":[17],"neural":[18],"network":[19],"(GNN)":[20],"methods":[21],"focus":[22],"modeling":[24],"pair-wise":[25],"relationships":[26,32,54,74,87],"but":[27],"ignore":[28],"neighborhood":[29,50,70,84],"and":[30,51,71,85,90,126],"category":[31,52,72,86],"which":[33],"is":[34],"crucial":[35],"for":[36,55],"improving":[37],"the":[38,69,83,93,97,102,108,113],"accuracy":[39],"of":[40,88,105,124],"recommendations.":[41],"This":[42],"paper":[43],"proposes":[44],"hypergraph":[46,65],"framework":[47],"association":[53,73],"session-based":[56],"(HLNCA).":[58],"In":[59],"detail,":[60],"we":[61],"first":[62],"construct":[63],"that":[66],"can":[67],"acquire":[68],"among":[75],"items;":[76],"then":[77],"aggregate":[78],"hyperedge":[79],"representation":[80],"obtain":[82,92],"nodes;":[89],"finally":[91],"users'":[94],"preference":[95],"through":[96],"attention":[98],"mechanism":[99],"calculate":[101],"predicted":[103],"score":[104],"items":[106],"in":[107,122],"candidate":[109],"set":[110],"according":[111],"preference.":[114],"proposed":[116],"HL-NCA":[117],"model":[118],"outperforms":[119],"baseline":[120],"models":[121],"terms":[123],"Recall@20":[125],"MRR@20":[127],"evaluation":[128],"metrics.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}