New Recommendation System Using Reinforcement Learning
نویسندگان
چکیده
Recommendation system are widely used in e-commerce that is a part of ebusiness. It helps users locate information or products that they would like to make offers. In this paper, we purpose a new web recommendation system based on reinforcement learning, which is different from another system using Q-learning method. By using ε-greedy policy combined with SARSA prediction method, another powerful method of reinforcement learning is obtained. The system gives customer more chance to explore new pages or new products which are not popular which may match with their interests. The system composes of two models. First, a global model, the model for all customers to discover behavior of system. We can know another users direction or trend by global model. Second, a local model, which uses to keep records of user browsing history and makes offer from each customers. We report experimental studies that show the click rate of recommendation list.
منابع مشابه
Using Reinforcement Learning to Enhance a Knowledge Management System for Web Recommendation Based on Self-Organization of Communities
متن کامل
Outsourcing or Insourcing of Transportation System Evaluation Using Intelligent Agents Approach
Nowadays, outsourcing is viewed as a trade strategy and organizations tend to adopt new strategies to achieve competitive advantages in the current world of business. focusing on main copmpetencies, and transferring most of activities to outside resources of organization( outsourcing) is one such strategy is. In this paper, we aim to decide on decision maker agent of transportation system, by a...
متن کاملSurvey of effective factors on learning motivation of clinical students and suggesting the appropriate methods for reinforcement the learning motivation from the viewpoints of nursing and midwifery faculty, Tabriz University of Medical Sciences 2002.
Introduction. Motives are the powerful force in process of education– learning, so that the richest and best training plans and structured education are not effective if the lack of motivation existed. In spite of the fact that the success of teacher depends on the learning motivation of students, then it is necessary for teachers to know the effective methods for motivating the students and t...
متن کاملQuality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help users to navigate through product spaces, alternatively making product suggestions and eliciting users feedback. Critiquing is a common form of feedback and incremental critiquing-based recommender system has shown its e...
متن کاملDevelopment of a Music Recommendation System for Motivating Exercise
While the health benefits of regular physical activity are well-established, many people exercise much less than is recommended by established guidelines. Music has been shown to have a motivational effect that can encourage people to exercise more strenuously or for longer periods of time, but the determination of which songs should be provided to which exercisers is an unsolved problem. We pr...
متن کامل