On Relevance

Query expansion based on relevance feedback and latent semantic analysis

Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...

Avicenna on the Angelological Relevance of Mystical Experience

Avicenna is a renowned peripatetic philosopher whose rationality continuously draws the attention of many scholars. In many of his works, he resorts to the hierarchy of intellects (angels) to explain the process of the emanation of the multiplicity from the One, as well as the emergence of beings. As these intellects are among the ontological causes of the human soul in the arc of descent, they...

Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback

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...

On Relevance Scale Approaches∗

We call approaches which use decision theoretic explications of Grice’ relevance maxim for selecting best answers and calculating implicatures relevance scale approaches. In this paper we discuss these approaches with respect to the questions: Are intuitively optimal assertions identical to assertions with maximal relevance? Can classical relevance implicatures be explained by the assumption th...

On relevance distributions