Data mining techniques to analyze the factors influencing active commuting to school
Positive unlabeled learning for building recommender systems in a parliamentary setting.
Modeling and Simulating the Web of Things from an Information Retrieval Perspective.
Selecting Relevance Thresholds to Improve a Recommender System in a Parliamentary Setting.
PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus.
Predicting IR personalization performance using pre-retrieval query predictors.
Lucene4IR: Developing Information Retrieval Evaluation Resources using Lucene.
Profile-based recommendation: A case study in a parliamentary context.
New Trends in Information Access.
Committee-Based Profiles for Politician Finding.
Use of textual and conceptual profiles for personalized retrieval of political documents.
Advances in real-time indexing models and techniques for the web of things.
Generalizing e-Bay.NET: An Approach to Recommendation Based on Probabilistic Computing
An automatic methodology to evaluate personalized information retrieval systems.
Bibliometric study of the scientific research on "Learning to Rank" between 2000 and 2013.
A Lazy Approach for Filtering Parliamentary Documents.
Concept Profiles for Filtering Parliamentary Documents.
Using Personalization to Improve XML Retrieval
Enhancing collaborative search systems engagement through gamification
Personalization of Parliamentary Document Retrieval Using Different User Profiles.
A discrete-event simulator for the web of things from an information retrieval perspective.
Editorial: Personalization and Recommendation in Information Access
Personalization and Recommendation in Information Access.
Being confident about the quality of the predictions in recommender systems
Top-N news recommendations in digital newspapers
Proposal of a distributed events model for the development of collaborative search systems
On the Use of Weighted Mean Absolute Error in Recommender Systems.
Proceedings of the 3rd international workshop on Collaborative information retrieval
User intent transition for explicit collaborative search through groups recommendation
Supplying Collaborative Source-code Retrieval Tools to Software Developers.
3rd international workshop on collaborative information retrieval (CIR2011)
A new criteria for selecting neighborhood in memory-based recommender systems
Introduction to Teaching and Learning in Information Retrieval
A Content-Bsed Approach to Relevance Feedback in XML-IR for Content and Structure Queries.
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
Managing structured queries in probabilistic XML retrieval systems
CIRLab: A groupware framework for collaborative information retrieval research
A proposal for news recommendation based on clustering techniques
Introduction to the special issue on Graphical Models and Information Retrieval
New Utility Models for the Garnata Information Retrieval System at INEX'08
Link-based text classification using Bayesian networks
Probabilistic Methods for Link-Based Classification at INEX 2008
Managing uncertainty in group recommending processes
Teaching and learning in information retrieval
Editorial: Introduction to the special issue on Graphical Models and Information Retrieval
Introduction to the special issue on teaching and learning in information retrieval
An integrated system for managing the Andalusian Parliament's digital library
New Utility Models for the Garnata Information Retrieval System at INEX'08
Probabilistic Methods for Structured Document Classification at INEX'07
A VIDEO SEGMENTATION AND ANNOTATION TOOL FOR PARLIAMENTARY RECORDINGS AND TRANSCRIPTIONS
A collaborative recommender system based on probabilistic inference from fuzzy observations
Information retrieval and applications of graphical models (IRGM 2007)
Average and Majority Gates: Combining Information by Means of Bayesian Networks
The Garnata Information Retrieval System at INEX'07
Introduction to the special issue on the 27th European Conference on Information Retrieval Research
Collaborative Recommendations Using Bayesian Networks and Linguistic Modelling
e-Bay.Net: Helping Users to Buy in e-commerce Applications
Proceedings of the 27th European conference on Advances in Information Retrieval Research
Report on the 27th European conference on information retrieval research (ECIR 2005)
Using context information in structured document retrieval: an approach based on influence diagrams
Clustering terms in the Bayesian network retrieval model: a new approach with two term-layers
Ranking Structured Documents Using Utility Theory in the Bayesian Network Retrieval Model
A Multi-layered Bayesian Network Model for Structured Document Retrieval
The BNR model: foundations and performance of a Bayesian network-based retrieval model
An information retrieval model based on simple Bayesian networks
Implementing relevance feedback in the Bayesian network retrieval model
Ant colony optimization for learning Bayesian networks
Computing probability intervals with simulated annealing and probability trees
Reducing Propagation Effort in Large Polytrees: An Application to Information Retrieval
A Layered Bayesian Network Model for Document Retrieval
Document Instantiation for Relevance Feedback in the Bayesian Network Retrieval Model
Un modelo de recuperación de información basado en redes bayesianas
Marginalizing in undirected graph and hypergraph models