{"id":"https://openalex.org/W2900951277","doi":"https://doi.org/10.1155/2018/3907804","title":"Improving POI Recommendation via Dynamic Tensor Completion","display_name":"Improving POI Recommendation via Dynamic Tensor Completion","publication_year":2018,"publication_date":"2018-11-13","ids":{"openalex":"https://openalex.org/W2900951277","doi":"https://doi.org/10.1155/2018/3907804","mag":"2900951277"},"language":"en","primary_location":{"id":"doi:10.1155/2018/3907804","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/3907804","pdf_url":"https://downloads.hindawi.com/journals/sp/2018/3907804.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2018/3907804.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052860228","display_name":"Jinzhi Liao","orcid":"https://orcid.org/0000-0002-2898-6559"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzhi Liao","raw_affiliation_strings":["Key Laboratory of Science and Technology on Information System Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Science and Technology on Information System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102717976","display_name":"Jiuyang Tang","orcid":"https://orcid.org/0009-0005-1786-9831"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuyang Tang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan, China","Key Laboratory of Science and Technology on Information System Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Science and Technology on Information System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan, China","Key Laboratory of Science and Technology on Information System Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Science and Technology on Information System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110498560","display_name":"Haichuan Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haichuan Shang","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","National Institute of Information and Communications Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"National Institute of Information and Communications Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014937762"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.7535,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65300546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9675999879837036,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.949400007724762,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.769620418548584},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.728657066822052},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5693359375},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5570089221000671},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5497673749923706},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4901915192604065},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.4124825596809387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39403724670410156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38090986013412476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3683651089668274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13153141736984253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769620418548584},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.728657066822052},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5693359375},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5570089221000671},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5497673749923706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4901915192604065},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.4124825596809387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39403724670410156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38090986013412476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3683651089668274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13153141736984253},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/3907804","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/3907804","pdf_url":"https://downloads.hindawi.com/journals/sp/2018/3907804.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:51e4263d244c4053858a4e1ec1f61e97","is_oa":true,"landing_page_url":"https://doaj.org/article/51e4263d244c4053858a4e1ec1f61e97","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/3907804","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/3907804","pdf_url":"https://downloads.hindawi.com/journals/sp/2018/3907804.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2372033617","display_name":null,"funder_award_id":"71690233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5315980042","display_name":null,"funder_award_id":"71331008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5388974864","display_name":null,"funder_award_id":"61872446","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5425924389","display_name":null,"funder_award_id":"1331008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7341117219","display_name":null,"funder_award_id":"61872446, 71690233","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2900951277.pdf","grobid_xml":"https://content.openalex.org/works/W2900951277.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1814521481","https://openalex.org/W1973615963","https://openalex.org/W1993482030","https://openalex.org/W2024165284","https://openalex.org/W2055852858","https://openalex.org/W2091449379","https://openalex.org/W2122032069","https://openalex.org/W2167732364","https://openalex.org/W2239018695","https://openalex.org/W2323427203","https://openalex.org/W2566424107","https://openalex.org/W2643577078","https://openalex.org/W2765831819","https://openalex.org/W2809617701"],"related_works":["https://openalex.org/W2569661359","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W3199841771","https://openalex.org/W4286971555"],"abstract_inverted_index":{"POI":[0,26,53,100,164],"recommendation":[1,27,101,165],"finds":[2],"significant":[3],"importance":[4],"in":[5,160],"various":[6],"real-life":[7],"applications,":[8],"especially":[9],"when":[10],"meeting":[11],"with":[12,83],"location-based":[13],"services,":[14],"e.g.,":[15],"check-ins":[16,115],"social":[17],"networks.":[18],"In":[19,44,97],"this":[20],"paper,":[21],"we":[22,51],"propose":[23],"to":[24,46,80,118],"solve":[25],"through":[28],"a":[29,56,93],"novel":[30],"model":[31],"of":[32,41,110,114,150],"dynamic":[33,66,104],"tensor,":[34],"which":[35],"is":[36,69,90],"among":[37],"the":[38,65,72,87,103,111,119,140,148,157],"first":[39],"triumphs":[40],"its":[42],"kind.":[43],"order":[45],"carry":[47],"out":[48],"timely":[49],"recommendation,":[50],"predict":[52],"by":[54,71,92],"utilizing":[55],"completion":[57,76],"algorithm":[58,77],"based":[59],"on":[60],"fast":[61,73],"low-rank":[62,74],"tensor.":[63],"Particularly,":[64],"tensor":[67,75,105],"structure":[68],"complemented":[70],"so":[78],"as":[79,123,131,133],"achieve":[81],"prediction":[82],"better":[84],"performance,":[85],"where":[86],"parameter":[88],"optimization":[89],"achieved":[91],"pigeon-inspired":[94],"heuristic":[95],"algorithm.":[96],"short,":[98],"our":[99,151],"via":[102],"method":[106,153],"can":[107],"take":[108],"advantage":[109],"intrinsic":[112],"characteristics":[113],"data":[116],"due":[117],"multimode":[120],"features":[121],"such":[122],"current":[124],"categories,":[125,127],"subsequent":[126],"and":[128,162],"temporal":[129],"information":[130],"well":[132],"seasons":[134],"variations":[135],"are":[136],"all":[137],"integrated":[138],"into":[139],"model.":[141],"Extensive":[142],"experiment":[143],"results":[144],"not":[145],"only":[146],"validate":[147],"superiority":[149],"proposed":[152],"but":[154],"also":[155],"imply":[156],"application":[158],"prospect":[159],"large-scale":[161],"real-time":[163],"environment.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
