“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …

Recommender systems are becoming increasingly important to individual users and
businesses for providing personalized recommendations. However, while the majority of …

Although the broad social and business success of recommender systems has been
achieved across several domains, there is still a long way to go in terms of user satisfaction …

This chapter shows how a system can recommend to a group of users by aggregating
information from individual user models and modeling the user's affective state. It …

Recommender systems have been regarded as gaining a more significant role with the
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …

Managers routinely seek to understand firm performance relative to the competitors.
Recently, competitive intelligence (CI) has emerged as an important area within business …

For practical applications of collaborative filtering, we need a user-item rating matrix that
encodes user preferences for items. However, estimation of user preferences is inevitably …

We analyze a case where two competing firms, a personalizing firm that makes product
recommendations and a non‐personalizing firm that does not recommend products …

Content personalization is a long-standing problem for online news services. In most
personalization approaches users of a news service are represented by topical interest …