The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. In this paper, a ranking algorithm based on the reinforcement le...

It was predicted that because of their abstract nature, values will have greater impact on how individuals plan their distant future than their near future. Experiments 1 and 2 found that values better predict behavioral intentions for distant future situations than near future situations. Experiment 3 found that whereas high-level values predict behavioral intentions for more distant future si...

Today’s spoken dialog systems rely on procedures such as confidence scores, machine learning approaches, etc. to understand changes in users’ beliefs and intentions. They depend on these scores to decide when to do an implicit or explicit confirmation of a value obtained to fill a required slot. These approaches work reasonably well for small domain-based systems and to make them work, several ...

Response generation for natural language interfaces can not be seen as an isolated activity. It must be designed to facilitate cooperative user-friendly interaction. One important source of information for such a natural language generator is a model of the ongoing dialogue. There are two major approaches to dialogue modeling. One approach is based on reasoning about the goals and intentions be...

This paper describes a theoretical analysis and experimental investigation of difficulty related distraction by conflicting goal intentions in learning and problem solving with hypertext. Log files are used to capture hypertext navigation in the face of opportunities to implement competing goal intentions. We study how differences in task difficulty influence the volitional protection of the cu...