The subjective tests used to evaluate image and video quality estimators (QEs) are expensive and time consuming. More problematic, the majority of subjective testing is not designed to find systematic weaknesses in the evaluated QEs. As a result, a motivated attacker can take advantage of these systematic weaknesses to gain unfair monetary advantage. In this paper, we draw on some lessons of so...

In information retrieval, queries can fail to find documents due to mismatch in terminology. Query expansion is a well-known technique addressing this problem, where additional query terms are automatically chosen from highly ranked documents, and it has been shown to be effective at improving query performance. However, current techniques for query expansion use fixed values for key parameters...

Query expansion is an effective technique to improve the performance of information retrieval systems. Although hand-crafted lexical resources, such as WordNet, could provide more reliable related terms, previous studies showed that query expansion using only WordNet leads to very limited performance improvement. One of the main challenges is how to assign appropriate weights to expanded terms....

This paper reports prototype multilingual query expansion system relying on LMF compliant lexical resources. The system is one of the deliverables of a three-year project aiming at establishing an international standard for language resources which is applicable to Asian languages. Our important contributions to ISO 24613, standard Lexical Markup Framework (LMF) include its robustness to deal w...

Effectiveness involves more than simple efficiency, which is limited to the production process assessment of peer operational units. Effectiveness incorporates both endogenous and exogenous variables. It is a fundamental driver for the success of an operational unit within a competitive environment in which either the liquidity of money in the market and the customers are considered to be scarc...

NICTA (National ICT Australia) participated in the Medical Records track of TREC 2011 with seven automatic runs. The main techniques used in our submissions involved using Boolean retrieval for filtering, query transformation, and query expansion. Evaluation of our best run ranks our submissions higher than the median of all systems for this track, and stands at rank seven among 109 automatic r...

In this paper, we introduce our experiments carried out at TREC 2012 session track. Based on the work of our group in TREC 2011 session track, we propose several methods to improve the retrieval performance by considering the user behavior information over the session, which includes use query expansion based on meta data, query expansion based on click order, optimization based on history rank...