This chapter reviews research results in the field of Generic User Modeling Systems. It
describes the purposes of such systems, their services within user-adaptive systems, and …

This article is based on the findings of a longitudinal study examining the behavior of Polish
e-consumers. A series of methodically planned and executed surveys was conducted to …

Conversational recommender systems (CRSs) assist online users in their information-
seeking and decision making tasks by supporting an interactive process. Although these …

Recommender systems have traditionally recommended items to individual users, but there
has recently been a proliferation of recommenders that address their recommendations to …

Mobile phones are becoming a primary platform for information access and when coupled
with recommender system technologies they can become key tools for mobile users both for …

Recommender systems try to help users access complex information spaces. A good
example is when they are used to help users to access online product catalogs, where …

The three most common beliefs that consumers have about shopping online are that it saves
time, saves money and helps find products that best match needs. But how do these beliefs …

Despite the fact that adaptive hypermedia techniques have proven their ability to provide
user guidance and orientation in hyperspace, we do not currently see the widespread …

Consumer studies demonstrate that online users value personalized content. At the same
time, providing personalization on websites seems quite profitable for web vendors. This win …

This study explores the dynamics of online service personalization in the online apparel
retailing context, with regard to customers' actual online shopping activities. From an …