Abstract
New mapping and location applications focus on offering improved usability and services based on multi-modal door to door passenger experiences. This helps citizens develop greater confidence in and adherence to multi-modal transport services. These applications adapt to the needs of the user during their journey through the data, statistics and trends extracted from their previous uses of the application. The My-Trac application is dedicated to the research and development of these user-centered services to improve the multi-modal experience using various techniques. Among these techniques are preference extraction systems, which extract user information from social networks, such as Twitter. In this article, we present a system that allows to develop a profile of the preferences of each user, on the basis of the tweets published on their Twitter account. The system extracts the tweets from the profile and analyzes them using the proposed algorithms and returns the result in a document containing the categories and the degree of affinity that the user has with each category. In this way, the My-Trac application includes a recommender system where the user receives preference-based suggestions about activities or services on the route to be taken.
Highlights
Accepted: 20 May 2021Humans are social beings; we always seek to be in contact with other people and to have as much information as possible about the world around us
(384–322 B.C.) in his phrase “Man is a social being by nature” states that human beings are born with the social characteristic and develop it throughout their lives, as they need others in order to survive
The concept of social networking emerged in the 2000s as a place that allows for interconnection between people, and, very soon, the first social networking platforms appeared on the Internet that
Summary
Humans are social beings; we always seek to be in contact with other people and to have as much information as possible about the world around us. It has made it possible to make a large amount of information on any subject available to the average user at any time This is materialized in the development of social networks. Information is a very precious commodity, and, as presented above, Twitter is a great source of data when analyzing human behavior and interactions or when learning about the opinion of certain users on certain topics. This information can be used to improve the multi-modal experience of users when they use the My-Trac application. The systema don’t use social network capabilities, that allows to store, share and add travel experiences to better help tourists on the destination
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