{"id":"https://openalex.org/W1985320839","doi":"https://doi.org/10.1145/2556195.2556218","title":"Detecting non-gaussian geographical topics in tagged photo collections","display_name":"Detecting non-gaussian geographical topics in tagged photo collections","publication_year":2014,"publication_date":"2014-02-18","ids":{"openalex":"https://openalex.org/W1985320839","doi":"https://doi.org/10.1145/2556195.2556218","mag":"1985320839"},"language":"en","primary_location":{"id":"doi:10.1145/2556195.2556218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international conference on Web search and data mining","raw_type":"proceedings-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/A5041136131","display_name":"Christoph Kling","orcid":"https://orcid.org/0000-0001-7766-5199"},"institutions":[{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]},{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christoph Carl Kling","raw_affiliation_strings":["University of Koblenz-Landau, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Koblenz-Landau, Koblenz, Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016952117","display_name":"J\u00e9r\u00f4me Kunegis","orcid":null},"institutions":[{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]},{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00e9r\u00f4me Kunegis","raw_affiliation_strings":["University of Koblenz-Landau, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Koblenz-Landau, Koblenz, Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109047679","display_name":"Sergej Sizov","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sergej Sizov","raw_affiliation_strings":["Heinrich Heine University, D\u00fcsseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Heinrich Heine University, D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062807811","display_name":"Steffen Staab","orcid":"https://orcid.org/0000-0002-0780-4154"},"institutions":[{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]},{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Staab","raw_affiliation_strings":["University of Koblenz-Landau, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Koblenz-Landau, Koblenz, Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041136131"],"corresponding_institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I4387153937"],"apc_list":null,"apc_paid":null,"fwci":10.5713,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.98257244,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"603","last_page":"612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9853000044822693,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9853000044822693,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9682999849319458,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7833878993988037},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6282584071159363},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6086773872375488},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5284169912338257},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.5280438661575317},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5227090120315552},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5130147337913513},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4864484965801239},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4668249487876892},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.43179967999458313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14666807651519775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11762350797653198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833878993988037},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6282584071159363},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6086773872375488},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5284169912338257},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.5280438661575317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5227090120315552},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5130147337913513},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4864484965801239},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4668249487876892},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.43179967999458313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14666807651519775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11762350797653198},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2556195.2556218","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international conference on Web search and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:413597","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.8804","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.8804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://userpages.uni-koblenz.de/~staab/Research/Publications/2014/wsdm051-klingATS.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W27793324","https://openalex.org/W1612003148","https://openalex.org/W1880262756","https://openalex.org/W1967005434","https://openalex.org/W2004499578","https://openalex.org/W2066882130","https://openalex.org/W2080972498","https://openalex.org/W2095800081","https://openalex.org/W2107610218","https://openalex.org/W2116137244","https://openalex.org/W2127860643","https://openalex.org/W2145001205","https://openalex.org/W2149510050","https://openalex.org/W2158266063","https://openalex.org/W2159426623","https://openalex.org/W2204691432","https://openalex.org/W2624262714","https://openalex.org/W2953188615","https://openalex.org/W3003241580","https://openalex.org/W6636440780","https://openalex.org/W6674473936","https://openalex.org/W6689811036","https://openalex.org/W6725038865"],"related_works":["https://openalex.org/W2914864478","https://openalex.org/W2008338582","https://openalex.org/W2097627380","https://openalex.org/W1999586157","https://openalex.org/W4291700620","https://openalex.org/W22044811","https://openalex.org/W2625329765","https://openalex.org/W2766840109","https://openalex.org/W2955328590","https://openalex.org/W2255612897"],"abstract_inverted_index":{"Nowadays,":[0],"large":[1,14],"collections":[2],"of":[3,12,31,61,81,117,144,155,161],"photos":[4],"are":[5],"tagged":[6],"with":[7,37,63],"GPS":[8],"coordinates.":[9],"The":[10,69],"modelling":[11],"such":[13,137],"geo-tagged":[15],"corpora":[16],"is":[17,71,95],"an":[18],"important":[19],"problem":[20],"in":[21,152,164],"data":[22],"mining":[23],"and":[24,27,124,146],"information":[25,33],"retrieval,":[26],"involves":[28],"the":[29,59,82,97,142,153,159,162],"use":[30,107],"geographical":[32,48,55,99,165],"to":[34,57,87,106,110,148,158],"detect":[35],"topics":[36,62,156],"a":[38,46,74,78,108,138,149],"spatial":[39,67],"component.":[40],"In":[41,121],"this":[42],"paper,":[43],"we":[44,134],"propose":[45],"novel":[47,79],"topic":[49,100,113,166],"model":[50,70,101,139],"which":[51],"captures":[52],"dependencies":[53],"between":[54,115],"regions":[56,145],"support":[58,88],"detection":[60],"complex,":[64],"non-Gaussian":[65],"distributed":[66],"structures.":[68],"based":[72],"on":[73],"multi-Dirichlet":[75],"process":[76,85],"(MDP),":[77],"generalisation":[80],"hierarchical":[83],"Dirichlet":[84],"extended":[86],"multiple":[89],"base":[90],"distributions.":[91],"Our":[92],"method":[93],"thus":[94],"called":[96],"MDP-based":[98],"(MGTM).":[102],"We":[103],"show":[104,135],"how":[105],"MDP":[109],"dynamically":[111],"smooth":[112],"distributions":[114],"groups":[116],"spatially":[118],"adjacent":[119],"documents.":[120],"systematic":[122],"quantitative":[123],"qualitative":[125],"evaluations":[126],"using":[127],"independent":[128],"datasets":[129],"from":[130],"prior":[131],"related":[132],"work,":[133],"that":[136],"can":[140],"exploit":[141],"adjacency":[143],"leads":[147],"significant":[150],"improvement":[151],"quality":[154],"compared":[157],"state":[160],"art":[163],"modelling.":[167]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
