I need the full demo in the questions and the code form python.

With an increase of availability of web-based products and services there is a growing demand for modelling customer needs and providing them with targeted or personalized service solutions in real-time interaction. Recommender systems have already proved to be valuable for coping with the information overload problem in several application domains. They provide people with suggestions for items which are likely to be of interest for them; hence, a primary function of recommender systems is to help people make good choices and decisions. The assignment will focus on three main areas: 1. A literature review of existing product and service recommendation systems (2-3 pages) 2. Implementation of Al recommendation system recommending a list of products based on customer specification/requirements using relevant product dataset provided by the lecturer. The systems should include prioritisation of items based on the score reflecting how well the given product match the customer requirements and preferences