The selection of relevant features plays a critical role in relevance feedback for content-based image retrieval. In this paper, we propose an approach for dynamically selecting the most relevant feature space in relevance feedback. During the feedback process, an SVM classifier is constructed in each feature space, and its generalization error is estimated. The feature space with the smallest ...

This paper considers the strategies of query expansion, relevance feedback and result fusion to increase both relevance and diversity in photo retrieval. In the text-based retrieval only experiments, the run with query expansion has better MAP and P20 than that without query expansion, and only has 0.85% decrease in CR20. Although relevance feedback run increases both MAP and P20, its CR20 decr...

The work reported in this paper is focused on the experimental evaluation of a methodology which models sources for feedback through a vector subspace formalism. This work considers a specific application of the methodology that exploits correlation among terms in documents judged as relevant to support feedback. Experiments were carried out during the participation to the TREC 2010 Relevance F...

1. Relevance feedback Relevance feedback (RF) is an interactive technique that is intended to automatically improve an information retrieval (IR) system's representation of a search based on documents that a user has assessed as being relevant. One strength of RF is that it requires minimal input from a user: a user only has to indicate relevant material they do not have to describe what makes ...

this study is a typological description of written formative feedback in an efl context in iran. twenty m.a. students of tefl participated in the study. they were required to summarize a scholarly article in each session on which the instructor would provide written corrective feedback (cf). written formative comments were extracted, coded, and categorized into various types, such as asking for...

This report outlines TREC-2008 Relevance Feedback Track experiments done at RMIT University. Relevance feedback in text retrieval systems is a process where a user gives explicit feedback on an initial set of retrieval results returned by a search system. For example, the user might mark some of the items as being relevant, or not relevant, to their current information need. This feedback can b...

Query-biased pseudo relevance feedback creates document representations for document feedback that aim to be more relevant to the user than using the entire document. Our submitted runs using querybiased feedback degraded performance compared to not using feedback. The cause of this degradation was the use of too many documents for feedback. Preliminary document retrieval experiments using fewe...