Discusses the traditional Cranfield model for information retrieval (IR) evaluation, problems
with the model, and extensions and alternatives to Cranfield; describes emerging themes in …

The notion of user preference is adopted for the representation, interpretation, and
measurement of the relevance or usefulness of documents. User judgments on documents …

Traditional data-driven classifier learning approaches become limited when the training data
is inadequate either in quantity or quality. To address this issue, in this paper we propose to …

In the present work, a new approach to construction of single‐valued measures for
evaluation of search results is considered in detail. This approach is based first on the …

In recent years there has been a growing interest in mobile recommender systems for the
tourism domain, because they can support users visiting new places, suggesting …

This paper presents an index structure for retrieving electronic messages that contain
mistyped words or spelling errors. Given a query string (eg, a search key), we want to find …

A metasearch engine is an Information Retrieval (IR) system that can query multiple search
engines and aggregate ranked list of results returned by them into a single result list of …

A metasearch engine queries search engines and collates information returned by them in
one result set for the user. Metasearch can be external or internal. In external metasearch …

A metasearch engine is a Information Retrieval (IR) tool that greatly expands the scope of
Internet Search. Functionally a metasearch engine passes a query to multiple search …

When a query is passed to multiple search engines, each search engine returns a ranked
list of documents. The problem of metasearch is to fuse these ranked lists such that optimal …