Personalized Recommendation on Web Data
Avinash Palve, Akshay Tamhane, Ashwin K. Iyer, Akshay Mitkal, Prasad Satam · 2015
E-commerce and web-based services are more effective if recommendations are provided. Recommendations are carried out dynamically on web data. In this paper, such recommendation technique is proposed, which has information about rating and pr ofile contents. These two are used to maintain a re lation. The user preferences are recorded for this recommen dation. Along with the preferences, the features ar e adaptively weighted for personalized recommendation. Using recommendation technique helps in avoiding the skipping of the end users' preferred item .