Titulo Estágio
Learning the User Model for Personal Assistant Agents
Área Tecnológica
Inteligência Artificial
Local do Estágio
DEI-FCTUC
Enquadramento
An user model represents a collection of personal data associated with a specific user. Which data is included in the model depends on the purpose of the application. It can include personal information such as users' names and ages, their interests, their skills and knowledge, their goals and plans, their preferences and their dislikes or data about their behavior and their interactions with a specific system.
Objetivo
The goal of this project is the development of a personal agent so that it can represent an user model especially in what regards to the emotional and motivational (goals) tendencies of the user, given a certain context. With this aim, the personal agent should be able to gather information about the user from several sources, and by using appropriate machine learning algorithms build an user model so that it can predict the emotional and motivational (goals) aspects of the user in specific situations.
Although there are already a few target domains for the application of such personal agent, this is still an open issue that will be defined based on the specific interests of the student selected for this internship.
Plano de Trabalhos - Semestre 1
1- State of the Art [Sept – Nov]
2- Analysis and Specification [Dec]
2.1- Definition of System Requirements
2.2- Use Case Definition
2.3- Design and Specification
3- Prototype Development [Dec – Feb]
4- Thesis Proposal Writing [Dec – Feb]
Plano de Trabalhos - Semestre 2
5- Prototype Improvement [Mar – May]
6- Experimental Tests [Jun – Jul]
6.1- Functional Tests
6.2- Performance Tests
7- Thesis Writing [Jun – Jul]
Condições
The work will be developed in one of the labs of the Cognitive and Media Systems group.
Observações
References:
1- Tao, K., Abel, F., Gao, Q., Houben, G. (2011), TUMS: Twitter-based User Modeling Service, http://fabianabel.de/papers/2011-wis-twitter-tums-uweb.pdf
2-Kobsa, A. (1993), User Modeling: Recent Work, Prospects and Hazards, http://code.google.com/p/pallet/wiki/DocClassification
Orientador
Luis Macedo
macedo@dei.uc.pt 📩