Matches in SemOpenAlex for { <https://semopenalex.org/work/W2021504710> ?p ?o ?g. }
- W2021504710 endingPage "684" @default.
- W2021504710 startingPage "662" @default.
- W2021504710 abstract "The proliferation of digital cameras and the growing practice of online photo sharing using social media sites such as Flickr have resulted in huge volumes of geotagged photos available on the Web. Based on users' traveling preferences elicited from their travel experiences exposed on social media sites by sharing geotagged photos, we propose a new method for recommending tourist locations that are relevant to users (i.e., personalization) in the given context (i.e., context awareness). We obtain user-specific travel preferences from his/her travel history in one city and use these to recommend tourist locations in another city. Our technique is illustrated on a sample of publicly available Flickr dataset containing photos taken in various cities of China. Results show that our context-aware personalized method is able to predict tourists' preferences in a new or unknown city more precisely and generate better recommendations compared to other state-of-the-art landmark recommendation methods." @default.
- W2021504710 created "2016-06-24" @default.
- W2021504710 creator A5004775175 @default.
- W2021504710 creator A5008536178 @default.
- W2021504710 creator A5044253542 @default.
- W2021504710 creator A5057762207 @default.
- W2021504710 creator A5064777270 @default.
- W2021504710 creator A5069851877 @default.
- W2021504710 date "2013-04-01" @default.
- W2021504710 modified "2023-10-16" @default.
- W2021504710 title "A context-aware personalized travel recommendation system based on geotagged social media data mining" @default.
- W2021504710 cites W124012131 @default.
- W2021504710 cites W1602506470 @default.
- W2021504710 cites W1965067550 @default.
- W2021504710 cites W1966633684 @default.
- W2021504710 cites W1968944115 @default.
- W2021504710 cites W1991672159 @default.
- W2021504710 cites W2011101704 @default.
- W2021504710 cites W2018318499 @default.
- W2021504710 cites W2028690229 @default.
- W2021504710 cites W2040313277 @default.
- W2021504710 cites W2042042333 @default.
- W2021504710 cites W2042281163 @default.
- W2021504710 cites W2055956463 @default.
- W2021504710 cites W2073021764 @default.
- W2021504710 cites W2085554865 @default.
- W2021504710 cites W2103388840 @default.
- W2021504710 cites W2114887779 @default.
- W2021504710 cites W2117311203 @default.
- W2021504710 cites W2119742615 @default.
- W2021504710 cites W2133823270 @default.
- W2021504710 cites W2140251882 @default.
- W2021504710 cites W2154506601 @default.
- W2021504710 cites W2159094788 @default.
- W2021504710 cites W2171960770 @default.
- W2021504710 cites W2341865734 @default.
- W2021504710 doi "https://doi.org/10.1080/13658816.2012.696649" @default.
- W2021504710 hasPublicationYear "2013" @default.
- W2021504710 type Work @default.
- W2021504710 sameAs 2021504710 @default.
- W2021504710 citedByCount "175" @default.
- W2021504710 countsByYear W20215047102013 @default.
- W2021504710 countsByYear W20215047102014 @default.
- W2021504710 countsByYear W20215047102015 @default.
- W2021504710 countsByYear W20215047102016 @default.
- W2021504710 countsByYear W20215047102017 @default.
- W2021504710 countsByYear W20215047102018 @default.
- W2021504710 countsByYear W20215047102019 @default.
- W2021504710 countsByYear W20215047102020 @default.
- W2021504710 countsByYear W20215047102021 @default.
- W2021504710 countsByYear W20215047102022 @default.
- W2021504710 countsByYear W20215047102023 @default.
- W2021504710 crossrefType "journal-article" @default.
- W2021504710 hasAuthorship W2021504710A5004775175 @default.
- W2021504710 hasAuthorship W2021504710A5008536178 @default.
- W2021504710 hasAuthorship W2021504710A5044253542 @default.
- W2021504710 hasAuthorship W2021504710A5057762207 @default.
- W2021504710 hasAuthorship W2021504710A5064777270 @default.
- W2021504710 hasAuthorship W2021504710A5069851877 @default.
- W2021504710 hasConcept C136764020 @default.
- W2021504710 hasConcept C154945302 @default.
- W2021504710 hasConcept C166957645 @default.
- W2021504710 hasConcept C183003079 @default.
- W2021504710 hasConcept C18918823 @default.
- W2021504710 hasConcept C205649164 @default.
- W2021504710 hasConcept C23123220 @default.
- W2021504710 hasConcept C2522767166 @default.
- W2021504710 hasConcept C2779343474 @default.
- W2021504710 hasConcept C2780297707 @default.
- W2021504710 hasConcept C41008148 @default.
- W2021504710 hasConcept C518677369 @default.
- W2021504710 hasConcept C53605480 @default.
- W2021504710 hasConcept C557471498 @default.
- W2021504710 hasConceptScore W2021504710C136764020 @default.
- W2021504710 hasConceptScore W2021504710C154945302 @default.
- W2021504710 hasConceptScore W2021504710C166957645 @default.
- W2021504710 hasConceptScore W2021504710C183003079 @default.
- W2021504710 hasConceptScore W2021504710C18918823 @default.
- W2021504710 hasConceptScore W2021504710C205649164 @default.
- W2021504710 hasConceptScore W2021504710C23123220 @default.
- W2021504710 hasConceptScore W2021504710C2522767166 @default.
- W2021504710 hasConceptScore W2021504710C2779343474 @default.
- W2021504710 hasConceptScore W2021504710C2780297707 @default.
- W2021504710 hasConceptScore W2021504710C41008148 @default.
- W2021504710 hasConceptScore W2021504710C518677369 @default.
- W2021504710 hasConceptScore W2021504710C53605480 @default.
- W2021504710 hasConceptScore W2021504710C557471498 @default.
- W2021504710 hasIssue "4" @default.
- W2021504710 hasLocation W20215047101 @default.
- W2021504710 hasOpenAccess W2021504710 @default.
- W2021504710 hasPrimaryLocation W20215047101 @default.
- W2021504710 hasRelatedWork W1506282065 @default.
- W2021504710 hasRelatedWork W2021504710 @default.
- W2021504710 hasRelatedWork W2124519725 @default.
- W2021504710 hasRelatedWork W2141277649 @default.
- W2021504710 hasRelatedWork W2259539302 @default.
- W2021504710 hasRelatedWork W2323581027 @default.
- W2021504710 hasRelatedWork W2374116733 @default.