Nowadays more and more people read their news online rather than on traditional print media. With the increasing importance of online newsportals, we can also observe an increasing need for personalized news services that recommend those articles that are relevant to the users’ information need.
Although research on adaptive news retrieval and recommendation has been performed for many years, most research has been focused on rather small datasets or on datasets which have been designed for a different purpose, casting doubt on the scalability of these approaches. Find more information about the plista dataset in paper "The plista Dataset".
Open Recommendation Platform (ORP)
If you want to try your news recommender algorithms on a real news platform, read about the ORP, which is provided by plista to allow researchers to give recommendations to real publishers and real users. More information at http://orp.plista.com