Recommender systems have the effect of guiding users in a personalized way to interesting
objects in a large space of possible options. Content-based recommendation systems try to …

Semantic Web Mining aims at combining the two fast-develo** research areas Semantic
Web and Web Mining. This survey analyzes the convergence of trends from both areas …

As technology further expands, the relationship between customers and organizations
becomes even more idiomatic, as witnessed by personalized recommendations on websites …

A recommender system (RS) aims to provide personalized recommendations to users for
specific items (eg, music, books). Popular techniques involve content-based (CB) models …

This paper investigates the use of automatically extracted visual features of videos in the
context of recommender systems and brings some novel contributions in the domain of …

In this chapter we present an overview of Web personalization process viewed as an
application of data mining requiring support for all the phases of a typical data mining cycle …

Web Usage Mining is that area of Web Mining which deals with the extraction of interesting
knowledge from logging information produced by Web servers. In this paper we present a …

Embodiments of the invention advantageously select con tent items for dynamically-
generated displays, such as web pages, using statistical decision techniques. This permits …

In this paper, we present a complete framework and findings in mining Web usage patterns
from Web log files of a real Web site that has all the challenging aspects of real-life Web …

One embodiment of the invention is a system that provides a user interface through Which
users can? exibly tag indi vidual items in an electronic catalog With user-de? ned tags, and …