 Travel recommendation system based on trust using hybrid neuro-fuzzy: a study of potential trust in blog and FacebookNurul Akhmal Mohd Zulkefli and Baharum Baharudin International Journal of Business Information Systems, 2015, vol. 20, issue 3, 289-309 Abstract: In this paper, blog platform is selected as a main user-experience resource on the premise that there is an emerging trend of travel blogs and the blog contents are undeniably essential to facilitate the recommendation for users. Furthermore, the user-experience sharing in blog is presumably more trustworthy than other resources because the content itself is derived from user's experience and knowledge. In this paper, the architecture of trust hybrid neuro-fuzzy is proposed and the potential studies with regard to user behaviour trust information in network are discussed. Trust-based issues are explored in detail to solve the problems that come with the traditional recommender system such as data sparsity. Potential studies are also discussed to identify user behaviour in trust field information. The results of the study have generated a convincing prediction that using user-experience trust as conveyed in blogs and Facebook is useful for travel recommendation results. Keywords: travel recommendation systems; hybrid neuro-fuzzy; potential trust; Facebook; user experience; travel blogs; user behaviour; data sparsity; recommender systems; neural networks; fuzzy logic; trustworthiness. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:20:y:2015:i:3:p:289-309 Access Statistics for this article More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd |
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