| A MULTI CRITERIA RECOMMENDATION MODEL FOR JAUNT |
| Paper ID : 1187-SMPR |
| Authors: |
|
Farhad Hosseinali *1, Arsalan Razavi2 1Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University 2Department of Surveying Engineering, Faculty of Civil Engineering,Shahid Rajaee Teacher Training University,Tehran,Iran |
| Abstract: |
| Nowadays, people in most parts of the world always visit, travel and have fun in their cities or other cities, and they spend considerable time and money in their city or in other cities as a tourist. The existence of an intelligent and automated system that can provide the most suitable recreational and cultural offerings at any time and place, with regard to financial capability and time and transport constraints, as well as individual interests and personalization; has always been felt. Recommender systems can be used to suggest suitable recreational options for the user. The main difference between the recommendation model in this study and the previous models is to focus on the short-term planning of a few hours for one day. Previous models were often based on planning a few days a week or days of the month. Also, the cost factor has been considered in this research, which has been less considered in previous models. In case there is no information about the user and his previous rating, popularity based recommender system can be useful. A new version of content based recommender systems is proposed in this paper that can give recommendations by having some background information about previous itineraries of a user and his rating to those. To predict whether a place is a proper proposition to a user or not, a new version of collaborative filtering based on logistic regression is proposed. |
| Keywords: |
| Recommender Systems, Logistic Regression, Content Based Filtering, Classification, Itinerary, Points of Interest |
| Status : Conditional Accept (Poster) |
