Relevance feedback is a technique used in interactive Information Retrieval (IR) systems to enable a user to provide additional information to help the system identify more relevant documents. The additional information is provided in the form of relevance judgements on retrieved documents. One of the most advanced relevance feedback technique in operative IR system is based on a probabilistic ...

We used clarification forms to study passage term feedback. When compared against pseudo-relevance feedback with an extremely large external corpus, we found that passage feedback resulted in a reduction in performance while term feedback significantly improved recall.

The amount of audio-visual information has increased dramatically with the advent of High Speed Internet. Furthermore, technological advances in recent years in the field of information technology, have simplified the use of video data in various fields by the general public. This made it possible to store large collections of video documents into computer systems. To enable efficient use of th...

INFOrmer is an intelligent ltering system, currently being applied to the management of USENET News articles. An individual may h a v e one or more prooles, each representing a long-term interest of that user. The user proole is then used to measure the relevance of incoming articles and lter out irrelevant documents. A user proole may be modiied as a result of relevance feedback, so that it ad...

Relevance feedback in the INEX environment is addressed by several papers in the proceedings of the INEX 2005 Workshop [1]. The most extensive discussion is provided by Schenkel and Theobald [2]. Mihajlovic, et. al. [3], and Sauvagnat, et. al. [4], describe approaches to relevance feedback in specific sections of papers devoted to discussions of multiple INEX tasks. For detailed descriptions of...