{"id":"https://openalex.org/W2767752208","doi":"https://doi.org/10.1145/3132847.3133060","title":"Learning Graph-based Embedding For Time-Aware Product Recommendation","display_name":"Learning Graph-based Embedding For Time-Aware Product Recommendation","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767752208","doi":"https://doi.org/10.1145/3132847.3133060","mag":"2767752208"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3133060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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/A5102898293","display_name":"Yuqi Li","orcid":"https://orcid.org/0009-0007-0582-0621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqi Li","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074574183","display_name":"Weizheng Chen","orcid":"https://orcid.org/0000-0002-3433-0783"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizheng Chen","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111726041","display_name":"Hongfei Yan","orcid":"https://orcid.org/0000-0001-5914-8585"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Yan","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102898293"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.3854,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9385835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2163","last_page":"2166"},"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":0.9990000128746033,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7419370412826538},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5768623352050781},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5298563838005066},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5134044885635376},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.42460721731185913},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3113875985145569},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28411591053009033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28101104497909546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10595351457595825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419370412826538},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5768623352050781},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5298563838005066},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5134044885635376},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.42460721731185913},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3113875985145569},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28411591053009033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28101104497909546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10595351457595825},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3133060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2025605741","https://openalex.org/W2046902062","https://openalex.org/W2140310134","https://openalex.org/W2142144955","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2296368280","https://openalex.org/W2530194295","https://openalex.org/W2534727297","https://openalex.org/W3104097132","https://openalex.org/W3105705953"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W44246808","https://openalex.org/W4317039510","https://openalex.org/W3125580266","https://openalex.org/W3092950680","https://openalex.org/W2932872266"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66],"propose":[4],"a":[5,39,49,68,106,109],"novel":[6,69],"Product":[7],"Graph":[8],"Embedding":[9],"(PGE)":[10],"model":[11,25],"to":[12,71],"investigate":[13],"time-aware":[14],"product":[15,40,44,107,124,147],"recommendation":[16],"by":[17,32,53,114],"leveraging":[18],"the":[19,27,34,43,54,63,80,94,100,115,118,123,126,139],"network":[20,55],"representation":[21],"learning":[22],"technique.":[23],"Our":[24],"captures":[26],"sequential":[28,97],"influences":[29],"of":[30,96,141],"products":[31,59,98],"transforming":[33],"historical":[35],"purchase":[36,133],"records":[37,134],"into":[38,48,62,79],"graph.":[41],"Then":[42],"can":[45,111],"be":[46,112],"transformed":[47],"low":[50],"dimensional":[51],"vector":[52],"embedding":[56,95,119],"model.":[57],"Once":[58],"are":[60],"projected":[61],"latent":[64,82],"space,":[65],"present":[67],"method":[70,87],"compute":[72],"user's":[73,127],"latest":[74],"preferences,":[75],"which":[76,121],"projects":[77],"users":[78],"same":[81],"space":[83],"as":[84],"products.":[85],"This":[86],"is":[88],"based":[89],"on":[90,132],"time-decay":[91],"functions":[92],"and":[93,108,125],"that":[99],"user":[101,110],"purchased.":[102],"Thus,":[103],"relatedness":[104],"between":[105,117],"measured":[113],"similarity":[116],"vectors":[120],"represent":[122],"preferences.":[128],"The":[129],"experimental":[130],"results":[131],"crawled":[135],"from":[136],"JINGDONG,":[137],"show":[138],"superiority":[140],"our":[142],"proposed":[143],"framework":[144],"for":[145],"personalized":[146],"recommendation.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}