A selective review of research in content personalization

Abstract

Purpose -To provide a selective bibliography in the emerging area of library content personalization for the benefit of library and information professionals. Design/methodology/approach -A range of recently published works (in the period 1993-2004), which aim to provide pragmatic application of content personalization rather than theoretical works, are discussed and sorted into ''classified'' sections to help library professionals understand more about the various options for formulating content as per the specific needs of their clientele. Findings -This paper provides information about each category of tool and technique of personalization, indicating what is achieved and how particular developments can help other libraries or professionals. It recognises that personalization of library resources is a viable way of helping users deal with the information explosion, conserving their time for more productive intellectual tasks. It identifies how computer and information technology has enabled document mapping to be more efficient, especially because of the ease with which a document can be indexed and represented with multiple terms, and confirms that this same functionality can be used to represent a user's interests, facilitating the easy linking of relevant sources to prospective users. Personalization of library resources is an effective way for maximizing user benefit. Research limitations/implications -This is not an exhaustive list of developments in personalization. Rather it identifies a mix of products and solutions that are of immediate use to librarians. Practical implications -A very useful source of pragmatic applications of personalization so far, that can guide a practicing professional interested in creating similar solutions for more productive information support in his/her library. Originality/value -This paper fulfils an identified need for a ''review of technology'' for LIS practitioners and offers practical help to any professional exploring solutions similar to those outlined in this paper.

Personalisation in web computing and informatics: Theories, techniques, applications, and future research

“…gave a review on three recommendation filtering approaches: content-based, collaborative, and hybrid. Jeevan and Padhi (2006) gave a survey of tools and techniques of personalisation in digital libraries.…”

“…It provides basic personalisation mechanisms regarding user-driven services to create a portable Web page and list of available information resources (Jayawardana et al 2001, Jeevan andPadhi 2006). The Personalised collaborative digital library in "CYCLADES project" formalises an environment in which users search for information, organise information space, collaborate with other users sharing similar interests, and get recommendations (Renda and Straccia 2005).…”

“…Personalisation allows a library appear as a set of separate smaller libraries to individual users (Jeevan and Padhi 2006). Three basic services provided by DLs are (1) personalisation of services, (2) interface personalisation, and (3) personalisation of content (Frias-Martinez et al 2006).…”

A personalised information support system for searching portals and e‐resources

“…The systems aim to search automatically and retrieve information resources of interest from online journals and databases for the faculty members of IIT, Kharagpur who are actively engaged in the frontier areas of science and technology teaching and research using web usage mining, proxy data, and vector space modelling. Jeevan and Padhi (2006a) review the literature on content personalisation and Jeevan and Padhi (2006b) report on the preparedness of other libraries in IITs for this development.…”

Some Issues in Personalization of Intelligent Systems: An Activity Theory Approach for Meta Ontology Development

“…However, there has been substantial previous research in many dimensions regarding the use of personalization. Jeevan and Padhi [8] offer a recent survey of the literature of content personalization, focusing on providing a bibliography of research in the area of personalization. Approaches to capturing personalization have included using data mining [3], intelligent agents [4], ontologies [9], and other approaches.…”