Personalized information retrieval models integrating the user's profile

- and once correction of all the scripts has been completed, all the results achieved for the different questions and the averages and the standard deviations per question,

This paper presents a semantic approach to user profile modelling that goes beyond collecting raw data from user activities in online communities. This approach captures

Method A is identical to the approach we have chosen for the medical retrieval task, except that here no textual information was available, and that we used appearance-based

The paper presented a lightweight agent able to mine data collected by embedded micro-devices, logs and applications of a smartphone to build a semantic-based daily profile of its

Therefore, we propose an ontology-based user mod- elling approach that combines mediator techniques to aggre- gate user models from different applications and utilize the

In this paper we propose a novel method to learn the query embeddings [2, 14] using a simple and scalable technique and use it to measure similarity between user context queries

The workshop will cover personalized digital design of printed electronics, basics of different sensor types and actuators, and prototyping of printed electronics with con-

The ISE user classification model groups user into three categories and six characteristics namely information goal (Fixed and Evolving), Search Strategy (Cautious and