{"id":"https://openalex.org/W3042854957","doi":"https://doi.org/10.1145/3340631.3394868","title":"Eliciting Touristic Profiles: A User Study on Picture Collections","display_name":"Eliciting Touristic Profiles: A User Study on Picture Collections","publication_year":2020,"publication_date":"2020-07-07","ids":{"openalex":"https://openalex.org/W3042854957","doi":"https://doi.org/10.1145/3340631.3394868","mag":"3042854957"},"language":"en","primary_location":{"id":"doi:10.1145/3340631.3394868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340631.3394868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.05172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mete Sertkan","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Mete Sertkan","raw_affiliation_strings":["TU Wien, Wien, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien, Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Julia Neidhardt","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Julia Neidhardt","raw_affiliation_strings":["TU Wien, Wien, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien, Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hannes Werthner","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Hannes Werthner","raw_affiliation_strings":["TU Wien, Wien, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien, Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"230","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10055","display_name":"Diverse Aspects of Tourism Research","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/upload","display_name":"Upload","score":0.6528000235557556},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6255999803543091},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5184000134468079},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.47110000252723694},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4571000039577484},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.453900009393692},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.4449999928474426},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43709999322891235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074000239372253},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6528000235557556},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6255999803543091},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5184000134468079},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.4449999928474426},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.41760000586509705},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41530001163482666},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4075999855995178},{"id":"https://openalex.org/C143267671","wikidata":"https://www.wikidata.org/wiki/Q7901856","display_name":"User requirements document","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C3017568202","wikidata":"https://www.wikidata.org/wiki/Q2899888","display_name":"User needs","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3504999876022339},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32199999690055847},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29330000281333923},{"id":"https://openalex.org/C63880386","wikidata":"https://www.wikidata.org/wiki/Q5157592","display_name":"Computer user satisfaction","level":4,"score":0.29019999504089355},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3340631.3394868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340631.3394868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2006.05172","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.05172","pdf_url":"https://arxiv.org/pdf/2006.05172","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.05172","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.05172","pdf_url":"https://arxiv.org/pdf/2006.05172","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W72853202","https://openalex.org/W1496680988","https://openalex.org/W2004258408","https://openalex.org/W2006246575","https://openalex.org/W2011536622","https://openalex.org/W2033186379","https://openalex.org/W2054094545","https://openalex.org/W2138216384","https://openalex.org/W2162111811","https://openalex.org/W2269134286","https://openalex.org/W2532126343","https://openalex.org/W2804582335","https://openalex.org/W2858081207","https://openalex.org/W2904731079","https://openalex.org/W2908054697","https://openalex.org/W4231760770"],"related_works":[],"abstract_inverted_index":{"Eliciting":[0],"the":[1,21,31,42,86,123,148,151,178,184,198],"preferences":[2,67],"and":[3,58,68,82,135,182],"needs":[4],"of":[5,24,34,45,56,88,95,110,150,153,186,196,201],"tourists":[6],"is":[7],"challenging,":[8],"since":[9],"people":[10],"often":[11],"have":[12,50],"difficulties":[13],"to":[14,41,62,78,105,117],"explicitly":[15],"express":[16],"them":[17],"--":[18],"especially":[19],"in":[20],"initial":[22],"phase":[23],"travel":[25,90,119],"planning.":[26],"Recommender":[27],"systems":[28],"employed":[29],"at":[30],"early":[32],"stage":[33],"planning":[35],"can":[36,204],"therefore":[37],"be":[38,205],"very":[39],"beneficial":[40],"general":[43],"satisfaction":[44],"a":[46,54,60,65,75,93,96,107,111,118,154,157,194,202],"user.":[47],"Previous":[48],"studies":[49],"explored":[51],"pictures":[52,140,152,197],"as":[53,59],"tool":[55],"communication":[57],"way":[61],"implicitly":[63],"deduce":[64],"traveller's":[66],"needs.":[69],"In":[70,127,167],"this":[71],"paper,":[72],"we":[73,130,174],"conduct":[74],"user":[76,155,159,169,203],"study":[77,170],"verify":[79],"previous":[80],"claims":[81],"conceptual":[83],"work":[84],"on":[85],"feasibility":[87],"modelling":[89],"interests":[91],"from":[92,122],"selection":[94],"user's":[97],"pictures.":[98],"We":[99,146],"utilize":[100],"fine-tuned":[101],"convolutional":[102],"neural":[103],"networks":[104],"compute":[106],"vector":[108,144],"representation":[109],"picture,":[112],"where":[113],"each":[114],"dimension":[115],"corresponds":[116],"behavioural":[120],"pattern":[121],"traditional":[124],"Seven-Factor":[125],"model.":[126],"our":[128,168,187],"study,":[129],"followed":[131],"strict":[132],"privacy":[133],"principles":[134],"did":[136],"not":[137],"save":[138],"uploaded":[139],"after":[141],"computing":[142],"their":[143],"representation.":[145],"aggregate":[147],"representations":[149],"into":[156],"single":[158],"representation,":[160],"i.e.,":[161],"touristic":[162,180,199],"profile,":[163],"using":[164],"different":[165],"strategies.":[166],"with":[171],"81":[172],"participants,":[173],"let":[175],"users":[176],"adjust":[177],"predicted":[179],"profile":[181,200],"confirm":[183],"usefulness":[185],"approach.":[188],"Our":[189],"results":[190],"show":[191],"that":[192],"given":[193],"collection":[195],"determined.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-07-23T00:00:00"}
