{"id":"https://openalex.org/W4280559304","doi":"https://doi.org/10.24963/ijcai.2022/550","title":"Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation","display_name":"Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4280559304","doi":"https://doi.org/10.24963/ijcai.2022/550"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/550","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/550","pdf_url":"https://www.ijcai.org/proceedings/2022/0550.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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 Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0550.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017151269","display_name":"Heyuan Wang","orcid":"https://orcid.org/0000-0001-5716-4565"},"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":"Heyuan Wang","raw_affiliation_strings":["Institute of Computational Social Science, Peking University (Qingdao)","School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational Social Science, Peking University (Qingdao)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590373","display_name":"Tengjiao Wang","orcid":null},"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":"Tengjiao Wang","raw_affiliation_strings":["Institute of Computational Social Science, Peking University (Qingdao)","School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational Social Science, Peking University (Qingdao)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442644","display_name":"Shun Li","orcid":"https://orcid.org/0000-0003-1453-345X"},"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"]},{"id":"https://openalex.org/I67636235","display_name":"University of International Relations","ror":"https://ror.org/04r72en83","country_code":"CN","type":"education","lineage":["https://openalex.org/I67636235"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Li","raw_affiliation_strings":["University of International Relations","School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China","Institute of Computational Social Science, Peking University(Qingdao)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of International Relations","institution_ids":["https://openalex.org/I67636235"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computational Social Science, Peking University(Qingdao)","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036588587","display_name":"Shijie Guan","orcid":"https://orcid.org/0000-0002-0083-6823"},"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":"Shijie Guan","raw_affiliation_strings":["Institute of Computational Social Science, Peking University (Qingdao)","School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational Social Science, Peking University (Qingdao)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107748550","display_name":"Jiayi Zheng","orcid":"https://orcid.org/0009-0004-9136-8122"},"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":"Jiayi Zheng","raw_affiliation_strings":["Institute of Computational Social Science, Peking University (Qingdao)","School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational Social Science, Peking University (Qingdao)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344522","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0003-0065-3610"},"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":"Wei Chen","raw_affiliation_strings":["Institute of Computational Social Science, Peking University (Qingdao)","School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computational Social Science, Peking University (Qingdao)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Big Data Analysis and Applications, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0879,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93432203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3962","last_page":"3969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.7558260560035706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706035852432251},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.45657777786254883},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.4404464662075043},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35987937450408936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33973902463912964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3299289345741272}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.7558260560035706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706035852432251},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.45657777786254883},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.4404464662075043},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35987937450408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33973902463912964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3299289345741272},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/550","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/550","pdf_url":"https://www.ijcai.org/proceedings/2022/0550.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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 Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/550","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/550","pdf_url":"https://www.ijcai.org/proceedings/2022/0550.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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 Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G120159844","display_name":null,"funder_award_id":"2021ZD0111202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2787469147","display_name":null,"funder_award_id":"91846303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4906416324","display_name":null,"funder_award_id":"62176005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6166209737","display_name":null,"funder_award_id":"91846303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330927","display_name":"University of International Relations","ror":"https://ror.org/04r72en83"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4280559304.pdf","grobid_xml":"https://content.openalex.org/works/W4280559304.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1594866779","https://openalex.org/W1880262756","https://openalex.org/W2095705004","https://openalex.org/W2138293190","https://openalex.org/W2250886571","https://openalex.org/W2613328025","https://openalex.org/W2626389465","https://openalex.org/W2744043447","https://openalex.org/W2798413829","https://openalex.org/W2884462521","https://openalex.org/W2896457183","https://openalex.org/W2963241825","https://openalex.org/W2964015378","https://openalex.org/W2964338750","https://openalex.org/W2964413206","https://openalex.org/W2970398671","https://openalex.org/W2975308768","https://openalex.org/W2997874851","https://openalex.org/W2998454530","https://openalex.org/W3034345631","https://openalex.org/W3035389441","https://openalex.org/W3035414307","https://openalex.org/W3099645789","https://openalex.org/W3123329971","https://openalex.org/W3124141334","https://openalex.org/W3154339981","https://openalex.org/W3175177406","https://openalex.org/W3190587204","https://openalex.org/W4300511110","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W3034994054","https://openalex.org/W2805712290","https://openalex.org/W2155226960","https://openalex.org/W2548022288","https://openalex.org/W2909129499","https://openalex.org/W2392087771","https://openalex.org/W2761598930","https://openalex.org/W2553994394","https://openalex.org/W2370669686"],"abstract_inverted_index":{"Stock":[0],"recommendation":[1],"plays":[2],"a":[3,31,83,102,108,128,142],"critical":[4],"role":[5],"in":[6,98,141,158,165],"modern":[7],"quantitative":[8],"trading.":[9],"The":[10],"large":[11],"volumes":[12],"of":[13,33,47,160],"social":[14],"media":[15,50,136],"information":[16],"such":[17],"as":[18,101],"investment":[19,96],"reviews":[20,97],"that":[21],"delegate":[22],"emotion-driven":[23],"factors,":[24],"together":[25],"with":[26],"price":[27,48,138],"technical":[28],"indicators":[29],"formulate":[30],"\u201csnapshot\u201d":[32],"the":[34,44,70,135],"evolving":[35],"stock":[36,90,122],"market":[37],"profile.":[38],"However,":[39],"previous":[40],"studies":[41],"usually":[42],"model":[43,95],"temporal":[45],"trajectories":[46],"and":[49,92,106,137,162,171],"modalities":[51],"separately":[52],"while":[53],"losing":[54],"their":[55],"interrelated":[56],"influences.":[57],"Moreover,":[58],"they":[59],"mainly":[60],"extract":[61],"review":[62],"semantics":[63],"via":[64],"sequential":[65],"or":[66],"attentive":[67,111],"models,":[68],"whereas":[69],"rich":[71],"text":[72],"associated":[73],"knowledge":[74],"is":[75],"largely":[76],"neglected.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81,126],"propose":[82],"novel":[84,129],"heterogeneous":[85,103],"interactive":[86],"snapshot":[87,100],"network":[88],"for":[89,124],"profiling":[91],"recommendation.":[93],"We":[94],"each":[99],"document":[104],"graph,":[105],"develop":[107],"flexible":[109],"hierarchical":[110],"propagation":[112],"framework":[113],"to":[114,120,145],"capture":[115],"fine-grained":[116],"proximity":[117],"features.":[118],"Further,":[119],"learn":[121],"embedding":[123],"ranking,":[125],"introduce":[127],"twins-GRU":[130],"method,":[131],"which":[132],"tightly":[133],"couples":[134],"parallel":[139],"sequences":[140],"cross-interactive":[143],"fashion":[144],"catch":[146],"dynamic":[147],"dependencies":[148],"between":[149],"successive":[150],"snapshots.":[151],"Our":[152],"approach":[153],"excels":[154],"state-of-the-arts":[155],"over":[156],"7.6%":[157],"terms":[159],"cumulative":[161],"risk-adjusted":[163],"returns":[164],"trading":[166],"simulations":[167],"on":[168],"both":[169],"English":[170],"Chinese":[172],"benchmarks.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-04T07:58:01.006859","created_date":"2025-10-10T00:00:00"}