{"id":"https://openalex.org/W4366380757","doi":"https://doi.org/10.1145/3584376.3584540","title":"Application on E-Commerce Knowledge Graph Recommendation Model Integrating Attention Mechanism and Random Features","display_name":"Application on E-Commerce Knowledge Graph Recommendation Model Integrating Attention Mechanism and Random Features","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366380757","doi":"https://doi.org/10.1145/3584376.3584540"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5072589435","display_name":"Jin Li","orcid":"https://orcid.org/0009-0002-3941-0069"},"institutions":[{"id":"https://openalex.org/I1315279114","display_name":"Zhejiang Wanli University","ror":"https://ror.org/00rjdhd62","country_code":"CN","type":"education","lineage":["https://openalex.org/I1315279114"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Li","raw_affiliation_strings":["Zhejiang Wanli University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Wanli University, China","institution_ids":["https://openalex.org/I1315279114"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072589435"],"corresponding_institution_ids":["https://openalex.org/I1315279114"],"apc_list":null,"apc_paid":null,"fwci":0.3031,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6721978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"919","last_page":"923"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"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/T11478","display_name":"Caching and Content Delivery","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8119337558746338},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5632125735282898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5066474080085754},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4740864038467407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4471474289894104},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39811939001083374},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39337044954299927},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3374755382537842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8119337558746338},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5632125735282898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5066474080085754},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4740864038467407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4471474289894104},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39811939001083374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39337044954299927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3374755382537842}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1994389483","https://openalex.org/W2157881433","https://openalex.org/W2605350416","https://openalex.org/W2624407581","https://openalex.org/W2739671343","https://openalex.org/W2741249238","https://openalex.org/W2759136286","https://openalex.org/W2792839191","https://openalex.org/W2907492528","https://openalex.org/W2923964967","https://openalex.org/W2945623882","https://openalex.org/W2962711740","https://openalex.org/W2962810718","https://openalex.org/W2963323306","https://openalex.org/W2997897037","https://openalex.org/W3005187920","https://openalex.org/W3098087397","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W4206534706","https://openalex.org/W4229079080","https://openalex.org/W3203961807","https://openalex.org/W4205364923","https://openalex.org/W3012234327","https://openalex.org/W3006943036","https://openalex.org/W3191046242","https://openalex.org/W4294031299","https://openalex.org/W3119715496","https://openalex.org/W2605281151"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,53,72,124],"effectively":[3],"solve":[4],"the":[5,21,39,68,75,81,93,96,103,129,132,135,141,209,221],"problem":[6,139,144],"of":[7,12,23,85,98,191,208,225],"information":[8,27,31,202],"overload,":[9],"different":[10,126],"types":[11],"models":[13],"can":[14,50],"be":[15,51,114],"constructed":[16],"for":[17,156],"personalized":[18],"recommendation":[19,35,86],"through":[20],"analysis":[22],"user":[24,199],"commodity":[25,201],"interaction":[26],"and":[28,41,44,78,83,100,109,116,140,173,203,214,230],"related":[29],"auxiliary":[30],"in":[32,102,128,196,212],"e-commerce.":[33],"Traditional":[34],"methods":[36],"cannot":[37,113],"resolve":[38],"complex":[40],"diverse":[42],"connection":[43],"transmission":[45],"relationships":[46,101],"between":[47,62],"entities,":[48],"which":[49],"solved":[52,147],"a":[54,59,184,192],"certain":[55],"extent":[56],"by":[57,148],"building":[58],"knowledge":[60,89,104,231],"graph":[61,76,105],"entities.":[63],"Graph":[64],"neural":[65],"network":[66,106],"enables":[67],"deep":[69,228],"learning":[70,229],"technology":[71],"expand":[73],"on":[74,88],"structure,":[77],"further":[79],"improves":[80],"accuracy":[82],"interpretability":[84],"based":[87],"graph.":[90,232],"Aiming":[91],"at":[92],"problems":[94],"that":[95,155],"weights":[97,127],"nodes":[99],"are":[107,145],"adaptive,":[108],"some":[110],"non-isomorphic":[111],"graphs":[112],"identified":[115],"learned":[117],"sufficiently,":[118],"an":[119],"attention":[120],"mechanism":[121],"is":[122],"proposed":[123,210],"learn":[125],"network.":[130],"At":[131],"same":[133],"time,":[134],"minimization":[136],"dominating":[137],"set":[138,164,170,178,188],"maximization":[142],"matching":[143],"efficiently":[146],"random":[149],"features.":[150],"The":[151,206],"experimental":[152],"results":[153],"show":[154],"three":[157],"public":[158],"data":[159,163,169,177,182,187],"sets:":[160],"Book":[161],"e-commerce":[162,168,176,186,194],"Amazon":[165],"book,":[166],"music":[167],"last":[171],"FM":[172],"catering":[174],"review":[175],"yelp2018;":[179],"A":[180],"private":[181],"set:":[183],"comprehensive":[185],"after":[189],"desensitization":[190],"medium-sized":[193],"enterprise":[195],"Zhejiang,":[197],"including":[198],"information,":[200],"interactive":[204],"information.":[205],"performance":[207],"algorithm":[211],"recall":[213],"normalized":[215],"impairment":[216],"cumulative":[217],"gain":[218],"(NDCG)":[219],"exceeds":[220],"common":[222],"recommended":[223],"algorithms":[224],"machine":[226],"learning,":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}