The huge amount of information available online has given rise to personalization and filtering systems. Recommender systems (RS) constitute a specific type of information filtering technique that present items according to user’s interests. In this research, a web-based personalized recommender system capable of providing learners with books that suit their reading abilities was developed. Con...

Nowadays, online clothes-selling business has become popular and extremely attractive because of its convenience and cheap-and-fine price. Good examples of these successful Web sites include Yintai.com, Vancl.com and Shop.vipshop.com which provide thousands of clothes for online shoppers. The challenge for online shoppers lies on how to find a good product from lots of options. In this article,...

Aggregating preference and recommending a common set of items for a group has become a challenging topic in recommender systems and social web sites. This issue is mainly concerned with eliciting individual users’ preferences, suggesting the maximized overall satisfaction outcome for all users and ensuring that the aggregation mechanism is resistant to manipulation. In the following we survey p...

Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replaced by a distributed process where the users take the initiative. While the collaborative approach enables the collection of a vast amount of data, a new issue arises: the quality assessment. The elicitation of trust v...

Recommender systems are means for web personalization and tailoring the browsing experience to the users’ specific needs. There are two categories of recommender systems; memory-based and model-based systems. In this paper we propose a personalized recommender system for the next page prediction that is based on a hybrid model from both categories. The generalized patterns generated by a model ...

In this paper we discuss human behavior in interaction with information available on the Web via search. We consider seasonality as a novel source of context for Web search and discuss the possible impact it could have on search results quality. Seasonality is used in recommender systems as an attribute of the recommended item that might influence its perceived usefulness for particular user. W...