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To provide a selective bibliography in the emerging area of library content personalization for the benefit of library and information professionals.

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.

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.

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.

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.

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.

This study explores the implementation of personalised information access, driven by machine learning, in Nigerian public libraries. The purpose of this paper is to address existing challenges, enhance the user experience and bridge the digital divide by leveraging advanced technologies.

This study assesses the current state of Nigerian public libraries, emphasising challenges such as underfunding and lack of technology adoption. It proposes the integration of machine learning to provide personalised recommendations, predictive analytics for collection development and improved information retrieval processes.

The findings underscore the transformative potential of machine learning in Nigerian public libraries, offering tailored services, optimising resource allocation and fostering inclusivity. Challenges, including financial constraints and ethical considerations, are acknowledged.

This study contributes to the literature by outlining strategies for responsible implementation and emphasising transparency, user consent and diversity. The research highlights future directions, anticipating advancements in recommendation systems and collaborative efforts for impactful solutions.

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.

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.

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.

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.

The article aims to identify areas of potential research support that none of the traditional supportive actors (libraries, IT units, information units) have concerned themselves with, arguing for new tasks and roles for the academic library, specifically the special librarian.

Areas of “overload” in the digital practice of contemporary researchers are identified and then connected to various personalized digital tools. The article explores the idea that attention to new aspects of researchers information needs creates a potential for developing personalized meta-services at academic libraries.

It is possible to identify a wealth of new services that can, if put into practice, substantially redefine the relationship between academic librarians and researchers. This entails a turn from service aimed at novice users to sophisticated end-users. Such ideas also carry implications for LIS education programs and the need to build on special librarians who uphold competence in distinct knowledge domains. Two forms of domain-specific meta-services are explored: as support for collaboration and support for presentation.

It is suggested that academic libraries systematically utilize the “full cost” model of project funding in order to exhibit concrete benefits of personalized meta-services. The article holds implications for both academic libraries and for LIS educational institutions.

Personalized meta-services constitute a relatively fresh topic and have previously not been explored in connection with academic libraries.

The main objective of this chapter is broadening the understanding of anthropomorphic artificial intelligence (AI) (e.g. avatars, humanoid robots, chatbots) in both physical and digital environments. The chapter strives to demonstrate how organisations can curate relationship marketing and enhance customer experience by employing anthropomorphic AI. To achieve this, the chapter extends existing understanding in three ways. First, it explains the interconnectivity between relationship marketing and customer experience. Second, it presents anthropomorphic AI along with its different characteristics and technologies. Third, it offers some real-life uses cases and examples of such AI drawing from practical insights into five selected industries. Overall, the chapter provides some food of thoughts concerning the successful application and deployment of anthropomorphic AI in marketing practices.

The purpose of this paper is to describe the development of a personalised information support system to help faculty members to search various portals and e‐resources without typing the search terms in different interfaces and to obtain results re‐ordered without human intervention.

After a careful survey of various tools and techniques available for computerised client‐centred information services, the study selected to apply web usage mining, proxy level data collection and a vector space retrieval model to develop the personalised information support for teaching and research in a higher education institution.

There are practical constraints in the implementation stage. There is considerable difficulty in getting real and correct user interests and mapping them effectively into the products and services offered by the library. Also the interests of users change continuously. If multiple users share the same PC, it is difficult to identify the user as there is no one‐to‐one mapping between user and IP address.

The paper has not considered cases for all the faculty members due to time constraints. The results obtained from the system also need correlation with the sources actually used by the faculty to test its efficacy in a highly fluid research situation like higher academics.

A pragmatic client‐centred information support prototype described in this paper may find use in other institutions needing similar information support.

This paper demonstrates the pragmatic application of ICT for linking users and e‐resources in an academic library.

The paper aims to assess the level of preparedness of the Central Libraries of the Indian Institutes of Technology (IITs) to personalize content and seeks to determine whether the personalization service prototype being developed at IIT Kharagpur can be extrapolated to the remaining IITs.

A questionnaire was sent to the Librarians of the seven IITs, designed to compare the available information resources and services, with special emphasis on user interests and personalization aspects. The survey was supplemented by study visits to a couple of the Institutes.

Kharagpur and Mumbai have implemented personalization services in some form while the remaining IITs plan to adopt them in the near future. There is also a strong case for extending Kharagpur's personalization service, currently in project mode, to the other IITs.

IIT Madras and IIT Kanpur failed to return the questionnaires, so relevant information regarding these Institutes had to be collected from their web sites and other available sources. There is also scope for further research to accurately access the current status of personalization activities in all the IITs.

With parallel interests and similar research and information facilities, personalization services in one IIT can be replicated and utilized by all the others, leading to greatly enhanced library services in all the Institutes.

This one of a kind survey underlines the need for and possibility of making content personalization a reality in advanced technical libraries. The results obtained are valuable to all IIT libraries in particular and academic/technical libraries in general.

Despite growing demand, little product information is available when eating out. Information that is provided is often not well understood leading to a lack of consumer control and acting as a barrier to healthy food choices. The AIDA model which highlights the key stages of effective marketing communication (awareness, interest, desire and action) is applied. Information provided through technological solutions is examined to provide clear guidance on future use.

Exploratory qualitative methods through four focused group discussions allowed consumers views to be probed in-depth and key themes to emerge through thematic analysis.

In addition to the four key elements of the AIDA model, accessibility and relevance are found to be key constructs relevant to food information provision. Accessibility highlights the need for quick and clear data display, while relevance stresses how salient information is key to each consumer. Technological solutions may offer the most responsive, effective and trusted way to provide enhanced information.

With increasing consumer demand for clear information, a competitive advantage can be gained through the provision of personalised enhanced dish information when eating out. Findings from this study highlight consumers’ desire for online (app or website-based) platforms.

The provision of enhanced food information when eating out has clear public health implications and may influence choice leading to a reduction in non-communicable disease.

This study evaluates consumers’ perceptions to the provision of enhanced food information out of home providing novel insights and guidance for both managerial and societal impact.

History shows that libraries have always functioned as physical portals to stored information. In the past, the physical library has consisted of reference and subject specific areas, card catalogs, and book stacks, all available during operating hours and confined to the library’s physical space within a building or room. However, with the explosive development of the Internet and the implementation of OPACs, libraries need to reinvent their environments as physical portals while establishing a virtual online portal presence. The Health Sciences Center Library at Stony Brook University has begun deploying several technologies to develop a virtual portal of online information and services, making the library and its resources available both inside and outside the confines of the physical library. The goal of this portal is two‐fold: provide the library’s patrons – particularly the students and faculty of the University’s Medical School – with personalized access to information, and to enable the library to gather statistics on the use of electronically‐based resources. What makes this library’s portal unique is its ability to deliver, over the Internet, desktop applications specific to certain academic programs in addition to traditional library resources, such as full‐text e‐journals and databases along with a Web‐based OPAC. The technology behind this portal incorporates centralized computing and client‐server architectures with recent thin‐client and operating system technologies, such as the Independent Computing Architecture, Windows 2000, and Linux. This portal demonstrates how academic libraries can improve individualized service by integrating existing systems of information delivery and retrieval with newer computing paradigms.

The article presents research on the long-term information needs of homicide bereaved individuals in the context of record-keeping practice within Major Crime Units (MCU) in England. The research objectives were to: (1) identify the long-term information needs of individuals bereaved by homicide; (2) establish MCU officer perceptions on the provision of information to individuals bereaved by homicide; (3) establish the current practice of MCU officers in managing and providing access to homicide records and (4) explore the capability of current recordkeeping practice to move beyond the use of homicide records for their primary “policing” purpose.

The research objectives were met by combining findings from a literature review across policing, bereavement, death, victimology, criminology, records management and archival studies with results from a singular interview-based study with officers at the Bedfordshire, Hertfordshire and Cambridgeshire Major Crime Unit (BHCMCU).

The findings indicate that the long-term information needs of homicide bereaved individuals are ill-served by the current police recordkeeping framework which provides them with little involvement in record-keeping decision-making and limited long-term access to the information required for sensemaking/adaption in a post-homicide world. In this context, the research demonstrates a long term need for: (1) information access; (2) support for access; (3) a direct and personalised information access service and (4) trauma-informed and victim/survivor centred practice in police recordkeeping contexts.

The research addresses a major gap across disciplinary research literature in its focus on the ways investigative information is disclosed by the police to the bereaved following case closure.