When the relevance feedback, which is one of the most popular information retrieval model, is used in an information retrieval system, a related word is extracted based on the first retrival result. Then these words are added into the original query, and retrieval is performed again using updated query. Generally, Using such query expansion technique, retrieval performance using the query expan...

Passage retrieval consists in identifying short but informative runs of a long text, given a specific user query. We discuss the sources of evidence that help choosing likely high-quality passages, such as relevance to the user query and self-containedness. These measures are different from the traditional information retrieval procedure due to the use of the context of the passage.

A collaborative retrieval, based on the concept of sharing between users, is increasingly used to facilitate the research and to satisfy the needs. In this context, we suggest to improve the performance of collaborative research, taking account of the annotations as a new source of information describing the documents. In our contribution, we suggest to apply the relevance feedback to expand th...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Antti Ajanki Name of the doctoral dissertation Inference of relevance for proactive information retrieval Publisher School of Science Unit Department of Information and Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 128/2013 Field of research Computer and Information Science Manuscript submi...

In recent years, the availability of automatically generated spatial information of various kinds has developed dramatically. Nowadays, virtually any kind of information is obtainable via the web. Route descriptions of diverse kinds can be obtained from many different sources and across different modalities. Views of maps and geographic information can be accessed in various ways, and local spa...

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 ...

Although relevance has represented a key concept in the field of information science for evaluating information retrieval effectiveness, the broader context established by interdisciplinary frameworks could provide greater depth and breadth to on-going research in the field. This work provides an overview of the nature of relevance in the field of information science with a cursory view of how ...

In the area of information retrieval the concept of relevance feedback is used to provide high relevant documents to the user. The process of gaining relevance data is usually based on explicit Relevance Feedback. But it turned out, that users are usually not willing to provide such data. This paper describes a Relevance Feedback approach that supports the users with query expansion terms by us...