Travel Companion

Authors : Vishal Israni, Raaj Raisinghani, Varun Rathi, Charusheela Nehete.

Volume/Issue : Volume 4 - 2019, Issue 4 - April

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This paper presents a generalized and effective methodology for recommending various entertainment parameters which can be very helpful while traveling using various AI and ML algorithms. A product that recommends the user books, movies, TV shows, songs and places to visit based on their past preferences and the time they have at their disposal. Use of content based, collaborative filtering, hybrid algorithms and demographic based recommender systems to filter the results and recommend them to the user. An additional feature of filtering results based on time constraint is also implemented. Blockchain-based micropayments and other features such as Proof of work and Proof of authority are used for pay per use feature and OAuth will ensure the user’s authentication.

Keywords : Blockchain, Machine Learning, Hybrid Filtering, Content-Based Filtering, Collaborative Filtering, Demographic-Based Filtering, Proof of Work, Proof of Authority.


Paper Submission Last Date
31 - August - 2022

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