ImageCLEF’s wikipediaMM task provides a testbed for the system-oriented evaluation of multimedia information retrieval from a collection of Wikipedia images. The aim is to investigate retrieval approaches in the context of a large and heterogeneous collection of images (similar to those encountered on the Web) that are searched for by users with diverse information needs. This paper presents an...

This paper presents work on document retrieval for Italian carried out at ITC-irst. Two different approaches to information retrieval were investigated, one based on the Okapi weighting formula and one based on a statistical model. Development experiments were carried out using the Italian sample of the TREC-8 CLIR track. Performance evaluation was done on the Cross Language Evaluation Forum (C...

background: knowing the rate of overlapping in results obtained from information retrieval tools is important to prevent waste of time. medical and health-related information has an outstanding place among the variety of information available on the internet. hence, this research aimed to study the rate of overlap among medical search results derived from mesh (medical subject headings) in gene...

This paper presents Russian information retrieval evaluation initiative and results obtained during first year. In particular, we describe first ROMIP seminar, used Cyrillic Web collection and search tasks as well as ongoing efforts on ROMIP’2004.

Full-text retrieval systems employ heuristics to match documents to user queries. Retrieval correctness cannot, therefore, be formally proven, but must be evaluated through human assessment. To make evaluation automatable and repeatable, assessments of which documents are relevant to which queries are collected in advance, to form a test collection. Collection-based evaluation has been the stan...

In hypermedia systems, links are used to connect related information in different types of media, for example: text, images, sound, etc. In this way, authors and users have means of accessing the information in a non-sequential manner, in the way they prefer, by following links that may be visualised as highlighted text or by other means. However, when simply following links while seeking infor...

We study the problem of employing a cognitive user model for information retrieval in which knowledge about a user is captured and used for improving retrieval performance and user satisfaction. In this proposed research, we improve retrieval performance and user satisfaction for information retrieval by building a user model to capture user intent dynamically through analyzing behavioral infor...

Information retrieval (IR) research has primarily consisted of two paradigms: systemsoriented research and user studies. Systems-oriented research includes IR algorithm development and evaluation and, to some degree, human-system interaction. User studies include human information behavior and information seeking research. These paradigms have contributed new IR algorithms and insights into IR ...