Although web personalization has been examined by earlier literature reviews, an updated
analysis of recent advances in the field is needed. The authors extend prior reviews of web …

More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …

The exponential outbreak of news articles makes it troublesome for the readers to find,
select and read the most relevant ones and alleviate the resulting information and cognitive …

Bu araştırmanın amacı hem kişiselleştirmiş çevrimiçi haber kavramını ve türlerini açıklamak
hem de yeni medyanın ayırt edici bu özelliğine yönelik farklı görüşleri literatür taraması ile …

Recommender systems have been developed to overcome the information overload
problem by retrieving the most relevant resources. Constructing an appropriate model to …

A personalised news recommendation system extracts news set from multiple press
releases and presents the recommended news to the user. In an effort to build a better …

The point-of-interest (POI) recommender exploits check-in information from location-based
social networks (LBSNs) to recommend POIs that match user preferences. The preferences …

The present paper introduces a context-aware recommendation system for journalists to
enable the identification of similar topics across different sources. More specifically a …

Recommender systems play a vital role in driving the long-term values for online platforms.
However, developing recommender systems for multi-sided platforms faces two prominent …

In this paper, we propose a user profile model to describe users' preferences from multiple
perspectives. Then, we discuss the degree of the user's preferences for historical news, and …