Search (4 results, page 1 of 1)

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Abstract

Proposes an alternative way in assisting users in finding information on the WWW. Since the Web is made up many Web servers, instead of searching all the Web servers, proposes that ech server does its own housekeeping. A software agent named SiteHelper is designed to act as a housekeeper for the Web server and as a helper for a Web user to find relevant information at a particular site. In order to assist the Web user in finding relevant information at the local site, SiteHelper interactively and incrementally learns about the Web user's areas of interest and aids them accordingly. To provide such intelligent capabilities, SiteHelper deploys enhanced HCV with incremental learning facilities as its learning and inference engines

Date

1. 8.1996 22:08:06

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Abstract

Purpose - With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion. Design/methodology/approach - The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods. Findings - Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level. Originality/value - Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.

Date

20. 1.2015 18:30:22

Source

Aslib journal of information management. 68(2016) no.4, S.448-477

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Date

1. 8.1996 22:08:06

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Source

Journal of the American Society for Information Science. 49(1998) no.5, S.435-454