To validate the credibility of diversity evaluation metrics, a number of methods that “evaluate evaluation metrics” are adopted in diversified search evaluation studies, such as Kendall’s τ , Discriminative Power, and the Intuitiveness Test. These methods have been widely adopted and have aided us in gaining much insight into the effectiveness of evaluation metrics. However, they also follow ce...

The automation of user tasks by agents may involve decision making that must take into account user preferences. This paper introduces a decision making technique that reasons about preferences and priorities expressed in a high-level language in order to choose an option from the set of those available. Our technique includes principles from psychology, concerning the way in which humans make ...

In pervasive environments, users are situated in rich context and can interact with their surroundings through various services. To improve user experience in such environments, it is essential to find the services that satisfies user preferences in certain context. Thus the suitability of discovered services is highly dependent on how much the context-aware system can understand users’ current...

Personalization and recommendation systems require formalized model for user preference. This paper presents the formal model of preference including positive preference and negative preference. For rare events, we apply the probability of random occurrence in order to reduce noise effects caused by data sparseness. Pareto distribution is adopted for the random occurrence probability. We also p...

In the context of m-commerce, small screen size poses serious difficulty for users to browse effectively through a product catalogue, given the limited number of products that may be presented on-screen. Despite the availability of search engines, filters and recommender systems to aid users, these techniques focus on a narrow segment of product offering. The users are thus denied the opportuni...

With the incredibly growing amount of multimedia data shared on the social media platforms, recommender systems have become an important necessity to ease users’ burden on the information overload. In such a scenario, extensive amount of heterogeneous information such as tags, image content, in addition to the user-to-item preferences, is extremely valuable for making effective recommendations....

The mechanism of the online user preference evolution is of great significance for understanding the online user behaviors and improving the quality of online services. Since users are allowed to rate on objects in many online systems, ratings can well reflect the users' preference. With two benchmark datasets from online systems, we uncover the memory effect in users' selecting behavior which ...

First motivation of our approach is Decathlon as an athletic discipline and its development in the last century (http://www.decathlon.ee). During this period, motivated by a desire of a fair competition, a development in scoring tables occurred. Today we can say it is stabilized. It shows single disciplines ordered (and scored) in direction of better (harder) achievement. Comparison with single...

Industry research advocates a 4 second rule for web pages to load [7]. Usability engineers note that a response time over 1 second may interrupt a user’s flow of thought [6, 9]. There is a general belief that, all other factors equal, users will abandon a slow search engine in favor of a faster alternative. This study compares two mock search engines that differ only in branding (generic color ...