in the area by adopting a pseudo-relevance feedback approach;

however, we advance the state of the art by proposing an approach for feature learning

within the process of query expansion. In our work, we specifically consider the Wikipedia...

that works on the basis of temporal evolution of user interests and utilizes semantic information from knowledge bases such as Wikipedia to predict user future interests and overcome the cold item problem. Through extensive experiments on a real-world Twitter...