Collaborative filtering recommender technology is also known as user-oriented recommendation techniques, is currently the most successful personalized recommendation. This paper describes the collaborative filtering recommendation techniques, collaborative filtering recommendation of three steps, and generation of a neighbor recommended. The traditional collaborative filtering algorithm has bee...

Modelling is a key activity in conceptual design and system design. Through collaborative modelling, end-users, stakeholders, experts and entrepreneurs are able to create shared understanding about a system representation. This paper reports on a literature review to provide an overview of the commonalities and differences in collaborative modelling research. We develop a framework of analysis ...

Current CAPTCHAs require users to solve objective questions such as text recognition or image recognition. We propose a class of CAPTCHAs based on collaborative filtering. Collaborative filtering CAPTCHAs allow us to ask questions that have no absolute answer; instead, the CAPTCHAs are graded by comparison to other people’s answers. We analyze the security requirements of collaborative filterin...

the most common technique used for recommendations is collaborative filtering. Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships from a group of user who share the same preferences and taste. In this paper we have explored various aspects of collaborative filtering recommendation system. We have catego...