Learning Recommendation Method Based on User Preference
Wang Chuan-a · Journal of Hunan Institute of Engineering · 2013
To some extent,the traditional recommendation algorithm can provide adaptive learning services for the users,but it couldn't provide satisfactory recommended service for Web consumers timely,and the user interest had been ignored.To provide satisfactory recommended service,we should understand and calculate the user interest degree and the basal users are clustered.At the same time,user interests matrix is established.The user's interestingness is predicted by the interestingness of neighbors whose preferences are similar to the target user,and then the learning pages with higher interestingness to Web users are recommendedThe experimental results show that this method can provid better recommendation results.