Personalized systems: models and methods from an IR and DB perspective

Authors:
Yannis Ioannidis;Georgia Koutrika
Affiliations:
University of Athens, Hellas;University of Athens, Hellas
Venue:
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Year:
2005

Citing 0
Cited 9

A parametric linguistics based approach for cross-lingual web querying

Data & Knowledge Engineering
Discovering special product features for improving the process of product selection in E-commerce environment

Proceedings of the 11th International Conference on Electronic Commerce
A Conceptual Modeling Approach for OLAP Personalization

ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Using web-based personalization on spatial data warehouses

Proceedings of the 2010 EDBT/ICDT Workshops
A preference-based recommender system

EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
A personalization process for spatial data warehouse development

Decision Support Systems
Multi-lingual web querying: a parametric linguistics based approach

NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine

Proceedings of the 15th International Conference on Extending Database Technology
Transportation ontology definition and application for the content personalization of user interfaces

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In today's knowledge-driven society, information abundance and personal electronic device ubiquity have made it difficult for users to find the right information at the right time and at the right level of detail. To solve this problem, researchers have developed systems that adapt their behavior to the goals, tasks, interests, and other characteristics of their users. Based on models that capture important user characteristics, these personalized systems maintain their users' profiles and take them into account to customize the content generated or its presentation to the different individuals.