Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Most modern RDBMS depend on the query processing optimizer’s cost model to choose the best execution plan for a given query. Since the physical IO (PIO) is a costly operation to...
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leveraging the dynamic feedback obtained from observations on the executed query wo...
This paper presents a proximity route selection scheme which is adaptive to the underlying network conditions. The proposed scheme repeatedly estimates and updates the total lookup...