Predictive recommender for day planning

Abstract

THE PLANNING ACTIVITY, like planning a day round a city or a shopping plan requires that the user that is planning has a considerate amount of knowledge about the environment that the human activity will take place in. For example a user must have knowledge about a city to plan a tour round this city, and on the other hand a user plans a better shopping plan ifs/he has knowledge about what shops are available together with their location amongst other. Predictive Recommender for Day Planning (PReDaP) aims to make the process of planning (which in this thesis is seen as a number of decision making activities) less hectic to its users, where it recommends best places to visit. Recommendations are given by PReDaP, according to the knowledge that the system contains about a specific User and his/her preferences together with the knowledge it has about the environment, where the planning is to take place.