Personalised information gathering and recommender systems: techniques and trends
Article
Article Title | Personalised information gathering and recommender systems: techniques and trends |
---|---|
ERA Journal ID | 210385 |
Article Category | Article |
Authors | Tao, Xiaohui (Author), Zhou, Xujuan (Author), Lau, Cher Han (Author) and Li, Yuefeng (Author) |
Journal Title | EAI Endorsed Transactions on Scalable Information Systems |
Journal Citation | 13 (1-3), pp. 1-17 |
Number of Pages | 17 |
Year | 2013 |
Place of Publication | Belgium |
ISSN | 2032-9407 |
Digital Object Identifier (DOI) | https://doi.org/10.4108/trans.sis.2013.01-03.e4 |
Abstract | With the explosive growth of resources available through the Internet, information mismatching and overload have become a severe concern to users. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant and reliable information in a timely manner. Personalised information gathering and recommender systems represent state-of-the-art tools for efficient selection of the most relevant and reliable information resources, and the interest in such systems has increased dramatically over the last few years. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from a technological and social perspective. Aiming to promote high quality research in order to overcome these challenges, this paper provides a comprehensive survey on the recent work and achievements in the areas of personalised web information gathering and recommender systems. The report covers concept-based techniques exploited in personalised information gathering and recommender systems. |
Keywords | personalisation, information gathering, recommender systems |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460208. Natural language processing | |
460508. Information retrieval and web search | |
Public Notes | Copyright © 2013 Tao et al., licensed to ICST. This is an open access article distributed under the terms of the |
Byline Affiliations | Department of Mathematics and Computing |
Queensland University of Technology | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1w6y/personalised-information-gathering-and-recommender-systems-techniques-and-trends
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