{"id":"https://openalex.org/W2953588284","doi":"https://doi.org/10.1109/taffc.2019.2925077","title":"Affective Impression: Sentiment-Awareness POI Suggestion via Embedding in Heterogeneous LBSNs","display_name":"Affective Impression: Sentiment-Awareness POI Suggestion via Embedding in Heterogeneous LBSNs","publication_year":2019,"publication_date":"2019-06-27","ids":{"openalex":"https://openalex.org/W2953588284","doi":"https://doi.org/10.1109/taffc.2019.2925077","mag":"2953588284"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2019.2925077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2019.2925077","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-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/A5057936279","display_name":"Xi Xiong","orcid":"https://orcid.org/0000-0002-3123-4200"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Xiong","raw_affiliation_strings":["Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3123-4200","affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074090518","display_name":"Shaojie Qiao","orcid":"https://orcid.org/0000-0002-4703-780X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojie Qiao","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, Sichuan, China","Software Automatic Generation and Intelligent Service Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4703-780X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"Software Automatic Generation and Intelligent Service Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109515128","display_name":"Nan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Han","raw_affiliation_strings":["School of Management, Chengdu University of Information Technology, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Chengdu University of Information Technology, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384440","display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0002-9311-9961"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Li","raw_affiliation_strings":["Mental Health Center, West China School of Medicine, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mental Health Center, West China School of Medicine, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694414","display_name":"Fei Xiong","orcid":"https://orcid.org/0000-0002-1610-335X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xiong","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1610-335X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032657699","display_name":"Ling He","orcid":"https://orcid.org/0000-0002-7168-2737"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling He","raw_affiliation_strings":["College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7168-2737","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4765,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.82019459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"1","first_page":"272","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983000159263611,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7456332445144653},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5213481187820435},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4846256673336029},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4355887174606323},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40113189816474915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37140512466430664},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13726651668548584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456332445144653},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5213481187820435},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4846256673336029},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4355887174606323},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40113189816474915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37140512466430664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13726651668548584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2019.2925077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2019.2925077","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G1218524806","display_name":"\u60c5\u666f\u611f\u77e5\u9a71\u52a8\u7684\u79fb\u52a8\u5bf9\u8c61\u591a\u6a21\u5f0f\u8f68\u8ff9\u9884\u6d4b\u6a21\u578b\u7814\u7a76","funder_award_id":"61772091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3785486062","display_name":null,"funder_award_id":"2018GXNSFDA138005","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G4576648995","display_name":null,"funder_award_id":"61802035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4966968552","display_name":null,"funder_award_id":"2019M653400","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5512086454","display_name":"\u57fa\u4e8e\u4e91\u5236\u9020\u670d\u52a1\u7684\u6c7d\u8f66\u4ea7\u4e1a\u94fe\u591a\u6838\u8de8\u94fe\u534f\u540c\u673a\u7406\u7814\u7a76","funder_award_id":"71701026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2062079386","https://openalex.org/W2069040327","https://openalex.org/W2082260230","https://openalex.org/W2127201730","https://openalex.org/W2149814409","https://openalex.org/W2439008650","https://openalex.org/W2509678028","https://openalex.org/W2515074106","https://openalex.org/W2531384334","https://openalex.org/W2533413719","https://openalex.org/W2534727297","https://openalex.org/W2536436157","https://openalex.org/W2565412869","https://openalex.org/W2574670802","https://openalex.org/W2584620251","https://openalex.org/W2586563160","https://openalex.org/W2621004402","https://openalex.org/W2629386751","https://openalex.org/W2742272831","https://openalex.org/W2752924770","https://openalex.org/W2756004689","https://openalex.org/W2763916687","https://openalex.org/W2772021946","https://openalex.org/W2774907000","https://openalex.org/W2781352667","https://openalex.org/W2782298158","https://openalex.org/W2788856119","https://openalex.org/W2792353048","https://openalex.org/W2808152329","https://openalex.org/W2810338221","https://openalex.org/W2963707260","https://openalex.org/W2963919031","https://openalex.org/W3098923689","https://openalex.org/W6640183791","https://openalex.org/W6682691769"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":{"Location-based":[0],"social":[1,9,198],"networks":[2,10],"(LBSNs)":[3],"add":[4],"geographical":[5],"information":[6,274],"into":[7,193],"traditional":[8],"and":[11,15,37,51,96,120,143,251,311],"link":[12],"people&#x2019;s":[13],"virtual":[14],"physical":[16],"lives.":[17],"As":[18],"an":[19,29,159],"important":[20,30],"application":[21],"of":[22,45,74,108,123,197,202,224,245,269,291,313],"LBSNs,":[23],"point-of-interest":[24],"(POI)":[25],"suggestion":[26,47,75],"has":[27],"become":[28],"method":[31],"to":[32,93,154,241,264,287,303],"help":[33],"users":[34,250],"explore":[35],"interesting":[36],"attractive":[38],"locations":[39],"in":[40,158,189,254,271,285,308],"LBSNs.":[41],"The":[42,102,162,200,215,259,296],"main":[43],"problems":[44],"POI":[46,147,236,314],"include":[48],"data":[49,109,118],"sparsity":[50],"cold":[52],"start,":[53],"which":[54,68,115,180],"have":[55],"been":[56],"paid":[57],"much":[58],"attention":[59],"by":[60,112,191,210],"existing":[61],"techniques.":[62],"There":[63],"are":[64,218],"two":[65,132,166,281],"major":[66],"challenges":[67],"can":[69,181,206],"greatly":[70],"influence":[71],"the":[72,79,85,106,130,184,195,203,211,222,243,246,289,292,304,309],"performance":[73,290],"accuracy.":[76],"One":[77],"is":[78,105,239,262,301],"fuzzy":[80],"boundary":[81],"between":[82,88],"sentiments,":[83],"i.e.,":[84],"fine":[86],"distinction":[87],"sentiments":[89,185,217,253],"makes":[90],"it":[91],"difficult":[92],"classify":[94],"words":[95],"texts":[97],"after":[98],"word-sentiment":[99],"mapping":[100],"operation.":[101],"other":[103],"challenge":[104],"unreliability":[107],"quality":[110],"represented":[111],"similarity":[113],"metrics,":[114],"relies":[116],"on":[117,221,280],"integrity":[119],"path":[121],"reachability":[122],"a":[124,136,155,170,227,255,272],"heterogeneous":[125,273],"network.":[126,275],"To":[127],"cope":[128],"with":[129],"above":[131],"challenges,":[133],"we":[134],"present":[135],"novel":[137],"framework":[138,164],"called":[139,175,231],"<b>C</b>ommunity-based":[140,176],"Sentiment":[141],"<b>E</b>xtraction":[142,178],"<b>N</b>e<b>t</b>work":[144],"<b>E</b>mbedding":[145,234],"for":[146,150,235],"<b>R</b>ecommendation":[148,237],"(CENTER)":[149],"suggesting":[151],"impressive":[152],"POIs":[153],"specific":[156],"user":[157],"effective":[160],"fashion.":[161],"CENTER":[163,294,300],"contains":[165],"essential":[167],"techniques:":[168],"(1)":[169],"latent":[171],"probabilistic":[172],"generative":[173],"model":[174,205,230],"<b>S</b>entiment":[177],"(CSE),":[179],"accurately":[182],"capture":[183],"from":[186],"review":[187],"content":[188],"LBSNs":[190],"taking":[192],"consideration":[194],"characteristics":[196],"communities.":[199],"parameters":[201],"CSE":[204],"be":[207],"inferred":[208],"effectively":[209],"Gibbs":[212],"sampling":[213],"method.":[214],"primary":[216],"obtained":[219],"based":[220],"distribution":[223],"sentiments;":[225],"(2)":[226],"network":[228],"embedding":[229,257],"<b>S</b>entiment-aware":[232],"<b>N</b>ework":[233],"(SNER)":[238],"employed":[240],"learn":[242],"representation":[244],"factors":[247],"including":[248],"POIs,":[249],"textual":[252],"low-dimensional":[256],"space.":[258],"joint":[260],"training":[261],"utilized":[263],"alternatively":[265],"sample":[266],"all":[267],"sets":[268],"edges":[270],"Extensive":[276],"experiments":[277],"were":[278],"conducted":[279],"large-scale":[282],"real":[283],"datasets,":[284],"order":[286],"evaluate":[288],"proposed":[293],"framework.":[295],"results":[297],"demonstrate":[298],"that":[299],"superior":[302],"state-of-the-art":[305],"baseline":[306],"methods":[307],"effectiveness":[310],"efficiency":[312],"suggestion.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}