Mobile Tourism Recommender System for Users to Get a Better Choice of Tour
| Autor: | Mostafa. M.khater, El-Sayed M. El-kenawy, Mostafa Abotaleb |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Wasit Journal of Computer and Mathematics Science, Vol 2, Iss 3 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2788-5879 2788-5887 |
| DOI: | 10.31185/wjcms.186 |
| Popis: | The system might include a turn-by-turn route highlight to prevent fake preferences that check if the user has taken the course. A larger customer overview with more participants is required to acquire more insightful client feedback. Our ex-amination was designed as a lab experiment to gather initial data straight absent. While making fun of other clients and their system comments, we looked at a few initial objective mixtures. Doing field research with actual clients using our suggested model in real-world situations (such as when looking for a course online to work from home) is crucial. This will help us better understand how effective our approach is. In this article, we developed a creative method for recommending multimodal travel routes. In a client survey with 20 participants, we evaluated the applicability of our cross-breed computation and its usability. The results show that CF, in-formation-based, and well-liked course concepts complement one more successfully than cutting-edge course organizer advances. Thanks to the Google Guides Programming interface, our application can give seven different elective trip options. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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