—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
Hypertext interfaces are considered appropriate for information exploration tasks. The prohibitively expensive link creation effort, however, prevents traditional hypertext interf...
Advances in search technology have meant that search systems can now offer assistance to users beyond simply retrieving a set of documents. For example, search systems are now cap...
This paper explores search behavior of online shoppers. Information economics literature suggests that search cost in electronic markets has essentially been reduced to zero as co...
Affective computing systems face challenges in relating objective measures with subjective human experiences. Many systems have either focused on objective measures as a substitut...