We explore the use of modern recommender system technology to address the problem of learning software applications. Before describing our new command recommender system, we first...
Justin Matejka, Wei Li, Tovi Grossman, George W. F...
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
The main scientific event for academics working in the field of Business Process Management is the International BPM Conference. In this paper, social network analysis techniques...
Hajo A. Reijers, Minseok Song, Heidi Romero, Umesh...
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
We investigate the impact of a discussion snippet’s overall sentiment on a user’s willingness to read more of a discussion. Using sentiment analysis, we constructed positive, ...
Hyung-il Ahn, Werner Geyer, Casey Dugan, David R. ...