IFRNDDA 2012 - 6th International Workshop on Information Filtering and Retrieval: novel distributed systems and applications

Nowadays users are more and more interested in information rather than in mere raw data. The huge amount of accessible data sources is growing rapidly. This calls for novel systems providing effective means of searching and retrieving information with the fundamental goal of making it exploitable by humans and machines.
DART focuses on researching and studying new challenges in distributed information filtering and retrieval. In particular, DART aims to investigate novel systems and tools to distributed scenarios and environments. DART will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.
Information Retrieval attempts to address similar filtering and ranking problems for pieces of information such as links, pages, and documents. Information Retrieval systems generally focus on the development of global retrieval techniques, often neglecting individual user needs and preferences.
Information Filtering has drastically changed the way information seekers find what they are searching for. In fact, they effectively prune large information spaces and help users in selecting items that best meet their needs, interests, preferences, and tastes. These systems rely strongly on the use of various machine learning tools and algorithms for learning how to rank items and predict user evaluation.
TOPICS OF INTEREST
Topics of interest will include (but not are limited to):
Web Information Filtering and Retrieval
Web Personalization and Recommendation
Web Advertising
Web Agents
Web of Data
Semantic Web
Linked Data
Semantics and Ontology Engineering
Search for Social Networks and Social Media
Natural Language and Information Retrieval in the Social Web
Real-time Search
Text categorization
IMPORTANT DATES
Paper Submission: June 21, 2012
Authors Notification: July 10, 2012
Final Paper Submission and Registration: July 24, 2012