Ranking information resources in peer-to-peer text retrieval: an experimental study

This paper experimentally studies approaches to the problem of ranking information resources w.r.t. user queries in peer-to-peer information retrieval. In distributed environments, for each given user query and a set of information resources that are available, we need to select the right subset of these resources to forward the query to. Here, we study the problem of pruning descriptions of resources to acceptable lengths in a peer-to-peer scenario and two approaches to overcome the mismatch problem that may arise as a consequence of the pruning, namely query expansion and learning better resource descriptions from query streams. The results show that resource descriptions can be pruned to a large extent without ill effects and that learning better descriptions from query streams works much better than query expansion. Categories and Subject Descriptors: H.3.3 [Information Search and Retrieval]: Selection Process, C.2.4 [Distributed Systems]: Distributed Applications. General Terms: ...

• Type: Conference
• Year: 2008
• Where: CIKM
• Authors: Hans F. Witschel
• Keywords: CIKM 2008, Information Management, Query Expansion, Query Streams, Resource