Handling uncertainty in social media textual information for improving venue recommendation formulation quality in social networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s13278-019-0610-x.pdf
Reference60 articles.
1. Aliannejadi M, Mele I, Crestani F (2016) User model enrichment for venue recommendation. In: Seffah A, Penzenstadler B, Alves C, Peng X (eds) Information retrieval technology. Lecture notes in computer science, vol 9994, pp 212–223
2. Aliannejadi M, Mele I, Crestani F (2017) Personalized ranking for context-aware venue suggestion. In: Proceedings of the symposium on applied computing, Marrakech, Morocco, pp 960–962
3. Aslam J, Montague M (2001) Models for metasearch. In: Proceedings of the 24th annual international conference on research and development in information retrieval, New Orleans, Louisiana, USA, pp 276–284
4. Bakshy E, Rosenn I, Marlow C, Adamic L (2012a) The role of social networks in information diffusion. In: Proceedings of the 21st international conference on World Wide Web, Lyon, France, pp 519–528
5. Bakshy E, Eckles D, Yan R, Rosenn I (2012b) Social influence in social advertising: evidence from field experiments. In: Proceedings of the 13th ACM conference on electronic commerce, Valencia, Spain, pp 146–161
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