PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Mordacchini M., Dazzi P., Tolomei G., Baraglia R., Silvestri F., Orlando S. Challenges in designing an interest-based distributed aggregation of users in P2P systems. In: ICUMT 2009 - International Conference on Ultra-Modern Communications & Workshops (St. Petersburg, Russia, 12-14 Ottobre 2009). Proceedings, article n. 1569240661. IEEE, 2009.
 
 
Abstract
(English)
Usually, most users retrieve and access resources in complex systems, like Distributed Virtual Environments (DVE) or the Web, by querying centralized search engines. Such systems compute their results on the basis of structural information only, like query-document similarity estimations and the system graph structure. Users expectations are rarely considered to better tailor search results to the user subjective relevance. The information about users interests can be deduced from past queries the user submitted to search engines. Interestingly, user interests typically follow the clustering property: users who were interested in the same topics in the past are likely to be interested in these same topics also in the future. It follows that search results considered relevant by a user belonging to a group of homogeneous users will likely also be of interest to other users from the same group. In this paper, we propose the architecture of a peer-to-peer system that exploits a collaborative search mechanism, based on interest similarities among users. The paper discusses the challenges associated with a system in scenarios like DVEs and the Web and based on a self-organized network of users, grouped according to the interests detected by the queries they previously submitted to search engines. The final aim is to enhance the quality of both the results and the experience perceived by users.
URL: http://ieeexplore.ieee.org/servlet/opac?punumber=5340227
DOI: 10.1109/ICUMT.2009.5345355
Subject Peer-to-Peer
Gossip
User Communities
Aggregation
Information Dissemination
E.1 Data Structures
H.3.3 Information Search and Retrieval


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