Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers

Effective Personalized Recommendation in Collaborative Tagging Systems

Recently, collaborative tagging systems have attracted more and more attention and have been widely applied in web systems. Tags provide highly abstracted information about personal preferences and item content, and are therefore potential to help in improving better personalized recommendations. In this paper, we propose a tag-based recommendation algorithm considering the personal vocabulary ...

Improving the Scalability of Multi-Agent Systems

Evaluating Paas Scalability and Improving Performance Using Scalability Improvement Systems

Cloud computing has almost changed the way of obtaining resources and managing platform as a service. With these improvements, challenges like scalability testing, performance testing is emerging very fast. This paper focuses on the evaluation of scalability of PaaS as well along with that propose a graphical model where SIS (Scalability Improvement System)is proposed in which cache are impleme...

Web-based Recommendation Systems for Personalized e-Commerce Shopping

In an e-commerce environment, personalization has taken on an important role in improving service levels, and fostering customer loyalty. In addition, the recommendation systems techniques that support many personalization systems are capable of customizing the recommendation of products and the display of advertisements to the individual level. This chapter provides a review of the major recom...

Exploiting Sequential Influence for Personalized Location-Based Recommendation Systems

A personalized location-based recommendation system suggests a user to visit or check in some specific locations, e.g., restaurants, stores, and museums, that are in accordance with the preference of the user. The preferences of users to locations are usually derived from their check-in histories on locations. In reality, human movement exhibits sequential patterns that can be extracted from th...