Juru at TREC 2004: Experiments with Prediction of Query Difficulty

Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks

Our experiments focus this year on the ad-hock tasks of the Terabyte and the Robust tracks. In both tracks we experimented with the query prediction technology we developed recently. In the Terabyte track, we investigated how query prediction can be used to improve federation of search results extracted from several indices. We show that federated search based on query prediction can achieve co...

Juru at TREC 2003 - Topic Distillation using Query-Sensitive Tuning and Cohesiveness Filtering

Juru at TREC 10 - Experiments with Index Pruning

This is the first year that Juru, a Java IR system developed over the past few years at the IBM Research Lab in Haifa, participated in TREC’s Web track. Our experiments focused on the ad-hoc tasks. The main goal of our experiments was to validate a novel pruning method, first presented at [1], that significantly reduces the size of the index with very little influence on the system’s precision....

Lucene and Juru at TREC 2007: 1-Million Queries Track

Lucene is an increasingly popular open source search library. However, our experiments of search quality for TREC data and evaluations for out-of-the-box Lucene indicated inferior quality comparing to other systems participating in TREC. In this work we investigate the differences in measured search quality between Lucene and Juru, our home-brewed search engine, and show how Lucene scoring can ...

Document Priors for Query Prediction

Methods: It has been shown that the likelihood of document access from a collection is non-uniform [2]. As such, for each document in a collection, a probability can be obtained that indicates the likelihood of seeing that document in any given result set. We propose several approaches to query difficulty prediction that take advantage of the non-uniform likelihood of document access by a searc...