This tutorial addressed two trending topics in the field of recommender systems research, namely A/B testing and real-time recommendations of streamed data. Focusing on the news domain, participants learned how to benchmark the performance of stream-based recommendation algorithms in a live recommender system and in a simulated environment
News recommender systems provide users with access to news stories that they find interesting and re...
The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and...
Participants of this tutorial learnt how to participate in CLEF NEWSREEL, a living lab for the evalu...
This tutorial addressed two trending topics in the field of recommender systems research, namely A/B...
Successful news recommendation requires facing the challenges of dynamic item sets, contextual item ...
Providing high-quality news recommendations is a challenging task because the set of potentially rel...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
Successful news recommendation requires facing the challenges of dynamic item sets, contextual item...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
Successful news recommendation requires facing the challenges of dynamic item sets, contextual item ...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
Recommender systems have gained a lot of popularity in recent times due to their application in the...
Abstract. Due to the overwhelming amount of items and information users need support in finding the ...
News recommender systems provide users with access to news stories that they find interesting and re...
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both onli...
News recommender systems provide users with access to news stories that they find interesting and re...
The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and...
Participants of this tutorial learnt how to participate in CLEF NEWSREEL, a living lab for the evalu...
This tutorial addressed two trending topics in the field of recommender systems research, namely A/B...
Successful news recommendation requires facing the challenges of dynamic item sets, contextual item ...
Providing high-quality news recommendations is a challenging task because the set of potentially rel...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
Successful news recommendation requires facing the challenges of dynamic item sets, contextual item...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
Successful news recommendation requires facing the challenges of dynamic item sets, contextual item ...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
Recommender systems have gained a lot of popularity in recent times due to their application in the...
Abstract. Due to the overwhelming amount of items and information users need support in finding the ...
News recommender systems provide users with access to news stories that they find interesting and re...
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both onli...
News recommender systems provide users with access to news stories that they find interesting and re...
The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and...
Participants of this tutorial learnt how to participate in CLEF NEWSREEL, a living lab for the evalu...