A Social Bot for Personalized Recommendations of Bike Availability

Innovation Development
Thesis Code: 

Thesis Type: MSc Thesis in Computer Science, Data Engineering, Computer Engineering, Mathematical Engineering

• Experience with Python and/or Java
• Basic knowledge of REST API implementation
• Basic notion of artificial intelligence, data mining
• Familiar with social media
• Basic English level

Me: “hey there”
Robot: “hi, I’m your digital assistant, how can I help you”
Me: “is there any bike available around me? “
Robot: “yes, 10 minutes by walking distance, next to the coffee shop you love so much!”

Conversational agents are now, more than ever, the answer to establish a seamless interaction between the end users and any service out there. The spreading of these agents have highlighted an important need: going beyond the simple (often precomputed) answer and provide personalized answers according to user's profiles. The goal of the thesis will be twofold: Conduct a survey of technologies enabling to build a textual chatbot Develop the system able to handle a basic conversation providing precomputed answers depending on the user profile. For example, the system while informing about factual information, will offer additional and personalized information concerning the user's preferences. The student will have the possibility to learn under a joint supervision of researchers and industry (in collaboration with a Frenchbased company). It’s a great occasion to get into the entrepreneur mindset with a strong push for the innovation and research.

Contacts: Send a resume with attached the list of exams taken during the Bachelor of Science to recruiting@ismb.it specifying the thesis code and title.