{"id":"https://openalex.org/W4306317791","doi":"https://doi.org/10.1145/3511808.3557704","title":"Spherical Graph Embedding for Item Retrieval in Recommendation System","display_name":"Spherical Graph Embedding for Item Retrieval in Recommendation System","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317791","doi":"https://doi.org/10.1145/3511808.3557704"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557704","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110106146","display_name":"Wenqiao Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenqiao Zhu","raw_affiliation_strings":["Bytedance Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100919515","display_name":"Yesheng Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yesheng Xu","raw_affiliation_strings":["Bytedance Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058488736","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-3650-0301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Bytedance Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055524168","display_name":"Qiyang Min","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiyang Min","raw_affiliation_strings":["Bytedance Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086198510","display_name":"Xun Zhou","orcid":"https://orcid.org/0000-0003-4930-6572"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xun Zhou","raw_affiliation_strings":["Bytedance Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4752","last_page":"4756"},"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":0.9998000264167786,"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":0.9952999949455261,"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":0.7235350012779236},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5928047299385071},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5649959444999695},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5081541538238525},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5076135396957397},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.41322463750839233},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3232974708080292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3038044273853302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1482841968536377},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1294878125190735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235350012779236},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5928047299385071},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5649959444999695},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5081541538238525},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5076135396957397},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.41322463750839233},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3232974708080292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3038044273853302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1482841968536377},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1294878125190735}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557704","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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":13,"referenced_works":["https://openalex.org/W2022322548","https://openalex.org/W2042281163","https://openalex.org/W2046253692","https://openalex.org/W2154851992","https://openalex.org/W2807021761","https://openalex.org/W2914833637","https://openalex.org/W2962756421","https://openalex.org/W2966694634","https://openalex.org/W3100848837","https://openalex.org/W3103311102","https://openalex.org/W3104097132","https://openalex.org/W3155632409","https://openalex.org/W4291474301"],"related_works":["https://openalex.org/W4360764811","https://openalex.org/W2002418671","https://openalex.org/W4287763734","https://openalex.org/W4213230534","https://openalex.org/W3035116611","https://openalex.org/W4281488784","https://openalex.org/W4226361842","https://openalex.org/W2923818335","https://openalex.org/W3200459586","https://openalex.org/W4310879833"],"abstract_inverted_index":{"One":[0],"of":[1,36,99],"the":[2,89,93],"challenging":[3],"problems":[4],"in":[5,23,40,80],"large-scale":[6],"recommendation":[7,25,83],"systems":[8],"is":[9,102],"to":[10,48],"retrieve":[11],"relevant":[12],"candidates":[13],"accurately":[14],"and":[15,60,77],"efficiently.":[16],"Graph-based":[17],"retrievals":[18],"have":[19],"been":[20],"widely":[21],"deployed":[22],"industrial":[24],"systems.":[26],"Previous":[27],"graph-based":[28,62],"methods":[29],"depend":[30],"on":[31],"integrated":[32],"graph":[33,41,51,70],"infrastructures":[34],"because":[35],"inherent":[37],"data":[38],"dependency":[39],"learning.":[42],"However,":[43],"it":[44],"could":[45],"be":[46],"expensive":[47],"develop":[49],"a":[50,58,81],"infrastructure.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"present":[57],"simple":[59],"effective":[61],"retrieval":[63],"method,":[64],"which":[65],"does":[66],"not":[67],"need":[68],"any":[69],"infrastructures.":[71],"We":[72],"conduct":[73],"extensive":[74],"offline":[75],"evaluations":[76],"online":[78],"tests":[79],"real-world":[82],"system.":[84],"The":[85,96],"results":[86],"show":[87],"that":[88],"proposed":[90],"method":[91],"outperforms":[92],"existing":[94],"methods.":[95],"source":[97],"code":[98],"our":[100],"algorithm":[101],"available":[103],"online.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}