Development of User Experiences based Application toUnderstand Distant Cities Through the Tourism Perspective

• Main Authors: Archana Allishe, Archana
• Other Authors: Yao-Ming Yeh
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/63330573692256765990

碩士 === 國立臺灣師範大學 === 資訊工程學系 === 105 === Social media is playing an important role in each and every industry in the world, including travel and tourism. Success in travel and tourism industry depends heavily on the use of word-of-mouth to spread opinions and recommendations, and social platforms such as Facebook allow the traveler to comment and give opinion about a particular thing in particular city (e.g. food, attractions, festivals, etc.). Such comments and opinions can serve as information for others who are unknown to those places/ cities and allow them to understand a particular city/ place in advance for an appropriate planning. However, to my knowledge, none of the system provides the individuals experiences about the particular city from social networking sites. Considering this, the project was proposed to develop a website that can explore the information available on social media networks about the cities/places using Graph API (Facebook) and GData API (YouTube). In this thesis, we developed a system which can allow user to (a) read all the experiences of other users from social media about different places or cities, (b) read all posted comments (suggestions, feedback, etc.) on the website, (c) read all retrieved user experiences which are automatically categorized into different fields such as food, attractions, sports, night markets, etc., (d) search any user experiences using number of likes as a query, (e) search any posts by using any keyword, (f) see all the pictures posted by users on Facebook in “pictures” category, (g) watch all the videos posted by users on Facebook in “video” category, (h) share/ post the link on Facebook, (i) “like” the comments/ pages through the Facebook log-in, (j) send message to any friend through Facebook, (k) search and play “user experiences related videos” from YouTube, (l) use Google search. Such user-contributed rich and diverse data from the Facebook will be retrieved automatically in this system is expected to allow users to know about the cities from different perspectives.