{"id":"https://openalex.org/W2007000145","doi":"https://doi.org/10.1109/icmu.2014.6799074","title":"Destination prediction considering both tweet contents and location transition hitstory","display_name":"Destination prediction considering both tweet contents and location transition hitstory","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2007000145","doi":"https://doi.org/10.1109/icmu.2014.6799074","mag":"2007000145"},"language":"en","primary_location":{"id":"doi:10.1109/icmu.2014.6799074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmu.2014.6799074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU)","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/A5063240138","display_name":"Takuya Shinmura","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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Shinmura","raw_affiliation_strings":["Faculty of Engineering, The University of Tokyo, Tokyo, Japan","Fac. of Eng., Univ. of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002554183","display_name":"Dandan Zhu","orcid":"https://orcid.org/0000-0003-0329-6321"},"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dandan Zhu","raw_affiliation_strings":["Faculty of Engineering, The University of Tokyo, Tokyo, Japan","Fac. of Eng., Univ. of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037920030","display_name":"Jun Ota","orcid":"https://orcid.org/0000-0002-4738-2275"},"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Ota","raw_affiliation_strings":["Faculty of Engineering, The University of Tokyo, Tokyo, Japan","Fac. of Eng., Univ. of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Fac. of Eng., Univ. of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029670252","display_name":"Yusuke Fukazawa","orcid":"https://orcid.org/0000-0001-9834-9339"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Fukazawa","raw_affiliation_strings":["NTT DOCOMO, INC., Yokosuka-shi Kanagawa, Japan","NTT DoCoMo, Inc., Yokosuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC., Yokosuka-shi Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT DoCoMo, Inc., Yokosuka, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"95","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/closeness","display_name":"Closeness","score":0.803392767906189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211267948150635},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6787514686584473},{"id":"https://openalex.org/keywords/geotagging","display_name":"Geotagging","score":0.6381916403770447},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5960626006126404},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5837714076042175},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.500093936920166},{"id":"https://openalex.org/keywords/destinations","display_name":"Destinations","score":0.4488053619861603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4409297704696655},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4198117256164551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33869248628616333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16745132207870483},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15049615502357483},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.07687053084373474}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.803392767906189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211267948150635},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6787514686584473},{"id":"https://openalex.org/C53605480","wikidata":"https://www.wikidata.org/wiki/Q852595","display_name":"Geotagging","level":2,"score":0.6381916403770447},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5960626006126404},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5837714076042175},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.500093936920166},{"id":"https://openalex.org/C2776687071","wikidata":"https://www.wikidata.org/wiki/Q5265193","display_name":"Destinations","level":3,"score":0.4488053619861603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4409297704696655},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4198117256164551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33869248628616333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16745132207870483},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15049615502357483},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.07687053084373474},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmu.2014.6799074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmu.2014.6799074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU)","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":4,"referenced_works":["https://openalex.org/W33139900","https://openalex.org/W2098461920","https://openalex.org/W3157286956","https://openalex.org/W6794286072"],"related_works":["https://openalex.org/W2156910174","https://openalex.org/W1995054232","https://openalex.org/W2011510925","https://openalex.org/W1557920161","https://openalex.org/W1556709767","https://openalex.org/W1993023208","https://openalex.org/W4291020658","https://openalex.org/W2593813644","https://openalex.org/W1496536969","https://openalex.org/W1589415932"],"abstract_inverted_index":{"We":[0,58,76],"propose":[1],"a":[2],"method":[3,16,62,105],"of":[4,36,38,55,67,80,102],"predicting":[5],"destinations":[6],"by":[7,63],"using":[8,32],"Twitter":[9,81],"posts":[10],"with":[11,83],"location":[12,50,84,115],"information.":[13],"The":[14,41,94],"proposed":[15,61,104],"chooses":[17],"base":[18,39,42],"tweets,":[19],"which":[20,111],"is":[21,106],"close":[22],"to":[23,108],"the":[24,33,60,64,68,90,99,103,109,114],"current":[25],"user's":[26],"tweet,":[27],"and":[28,73],"then":[29],"predict":[30],"destination":[31,72],"next":[34],"set":[35,92],"tweets":[37,43],"tweet.":[40],"are":[44],"selected":[45],"based":[46],"on":[47],"not":[48],"only":[49,112],"closeness":[51],"but":[52],"also":[53],"similarity":[54],"tweet":[56],"content.":[57],"evaluate":[59],"error":[65],"range":[66],"distance":[69],"between":[70],"predicted":[71],"golden":[74],"answer.":[75],"used":[77],"three":[78],"months":[79],"data":[82],"information":[85],"(almost":[86],"40":[87],"mil.)":[88],"as":[89],"test":[91],"tweets.":[93],"experimental":[95],"result":[96],"demonstrates":[97],"that":[98],"prediction":[100],"accuracy":[101],"superior":[107],"baseline,":[110],"consider":[113],"similarity.":[116]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}