Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Learning implicit user interest hierarchy for context in personalization
Proceedings of the 8th international conference on Intelligent user interfaces
Web Search Using a Genetic Algorithm
IEEE Internet Computing
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Multiple query evaluation based on an enhanced genetic algorithm
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
Anatomy and Empirical Evaluation of an Adaptive Web-Based Information Filtering System
User Modeling and User-Adapted Interaction
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Using ODP metadata to personalize search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
| Hi-index | 0.00 |
Personalized Information Retrieval (IR) is a research field that allows the implementation of information access systems involving the user in the search process. This is achieved by representing the user's profile in order to adapt the IR system functioning to his context. This paper presents a new IR system approach capable of integrating the user in the search process. As a first step of the approach, we focused on building user interests to better understand his information needs, by capturing his judgments about the returned results. Then, our system will optimize the user query, by re-injecting relevance using a genetic algorithm. To illustrate our approach, we have realized a prototype of our system and applied it on a case study.