In parallel (IR) systems, where a large-scale collection is indexed and searched, the query
response time is limited by the time of the slowest node in the system. Thus distributing the …

In information retrieval systems, there are three types of index partitioning schemes-term
partitioning, document partitioning, and hybrid partitioning. The hybridpartitioning scheme …

In Parallel (IR) systems the query response time is limited by the time of the slowest node in
the system, thus distributing the load equally across the nodes is very important issue. In this …

In a shared-nothing, parallel text retrieval system, queries are processed over an inverted
index that is partitioned among a number of index servers. In practice, the inverted index is …

One of the greatest challenges in information retrieval is to develop an intelligent system for
user and machine interaction that supports users in their quest for relevant information. The …

In a shared-nothing, distributed text retrieval system, queries are processed over an inverted
index that is partitioned among a number of index servers. In practice, the index is either …

Information retrieval (IR) systems for largescale data collections must build an index in order
to provide efficient retrieval that meets the userpsilas needs. In distributed IR systems, query …

Term-partitioned indexes are generally inefficient for the evaluation of conjunctive queries,
as they require the communication of long posting lists. On the other side, document …

Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the
capacity of any single machine. To handle the necessary data volumes and query …

The inverted index partitioning problem is investigated for parallel text retrieval systems. The
objective is to perform efficient query processing on an inverted index distributed across a …