@inproceedings{ae02bba06f0a44fc8984ad743c941101,
title = "A profile-based aggregation model in a peer-to-peer information retrieval system",
abstract = "Measuring effectiveness of Distributed Information Retrieval (DIR) is essential for research and development and for monitoring search quality in dynamic environment. Numerous works have been done to propose new search models in the context of peer-to-peer information retrieval systems (P2P-IR). In this article, we are considering another problem, which is the global ranking of a set of results' lists coming from a large set of IR systems. In this article we define a new method for automatic aggregation of results which mixes these categories by allowing each peer to construct knowledge about other peers' relevance model using a learning method (Formal Concept Analysis). The idea is that each peer constructs relationships between past queries, returned documents and contributed peers.",
keywords = "IR, P2P systems, Rank Aggregation, user profiles",
author = "Rim Mghirbi and Khedija Arour and Yahya Slimani and Bruno Defude",
year = "2010",
month = nov,
day = "8",
doi = "10.1007/978-3-642-15108-8\_13",
language = "English",
isbn = "3642151078",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "148--159",
booktitle = "Data Management in Grid and Peer-to-Peer Systems - Third International Conference, Globe 2010, Proceedings",
note = "3rd International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2010 ; Conference date: 01-09-2010 Through 02-09-2010",
}