An Intelligent Mobile Location-Aware Book Recommendation System with Map-Based Guidance That Enhances Problem-Based Learning in Libraries

Chen, Chin‐Ming; Yang, Yu-Chieh

doi:10.1007/978-3-642-12990-2_99

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…A location-aware book recommendation service that most closely resembles the work here is the example from Chen and Yang. Chen and Yang [9] describe a system for location-aware book recommendations, using a system architecture close related with the proposed in this paper, modeling the problem based learning using services in charge to recommends resources based on user data and learning objectives. It should be noted that this model was implemented in a vocational high school library in Taipei, Taiwan.…”

Section: Related Workmentioning

confidence: 99%

An NFC based context-aware solution for access to bibliographic sources in university environments

Borrego-Jaraba

García

Ruiz

et al. 2013

Journal of Ambient Intelligence and Smart Environments

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The advance of mobile and wireless technologies in recent years is permitting the development of new and more complex context-aware and pervasive systems. These applications cover a wide spectrum of problems, sectors, scenarios, and environments that aim to build smart environments, such as educative innovation. In this paper we present a proposal for a pervasive system providing students the access to bibliographic sources recommended by teachers on the subjects or courses on which the students are enrolled. In order to define the educational contents of a subject or course the IMS Learning Design standard has been used. Finally, we describe the use of NFC (Near Field Communication) for the development of the proposed pervasive system, showing the usefulness of the proposal and user acceptance.

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Section: Related Workmentioning

confidence: 99%

An NFC based context-aware solution for access to bibliographic sources in university environments

Borrego-Jaraba

García

Ruiz

et al. 2013

Journal of Ambient Intelligence and Smart Environments

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“…A location‐aware book recommendation service that most closely resembles the work here is the example from Chen and Yang (2010), where the problem based learning approach is modeled into the service architecture (p. 855). This service recommends resources based on user data and learning objectives that are built into the system (Chen and Yang, 2010, p. 855). It should be noted that this model was implemented in a vocational high school library in Taipei, Taiwan (Chen and Yang, 2010).…”

Section: Mobile Servicesmentioning

confidence: 99%

“…This service recommends resources based on user data and learning objectives that are built into the system (Chen and Yang, 2010, p. 855). It should be noted that this model was implemented in a vocational high school library in Taipei, Taiwan (Chen and Yang, 2010). Such academic‐history based suggestion service based on student learning portfolios is not possible on such a large scale since the population of new undergraduate students at a research university makes such individual learning history prohibitively intensive for the library to maintain.…”

Section: Mobile Servicesmentioning

confidence: 99%

Location‐based recommendation services in library book stacks

Hahn

2011

Reference Services Review

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PurposeThis paper seeks to suggest a model for location‐based recommendation services that enable greater access to print and electronic resources.Design/methodology/approachThe paper takes the form of a synthesis of previous work in basic and applied collections‐based wayfinding incorporating library and information science (LIS) literature on user context and system recommendations.FindingsThe paper identifies problems that will need to be solved before implementation of the production‐level recommendation service and suggests possible implications the system may have on reference and instruction services.Originality/valueThe paper provides computing workflows necessary to implement a library recommendation service based on user location. iPhone Software Developer Kit templates are leveraged for modeling data and interface prototypes. Use cases and user models are developed.

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“…The dissemination of mobile devices like smartphones and tablets on everyday activities introduced an additional shift on the reading habits, from the online reading paradigm in the computer screen to everywhere, anytime and from any mobile device. Due to the growing use of mobile devices, research on recommendation approaches suitable for this emergent scenario has been recently addressed by the academic community 9,37,41 . However, despite this increasing awareness, the field of mobile news articles recommendations is still fairly unexplored.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach for Personalized News Recommendation in a Mobility Scenario Using Long-Short User Interest

Viana

Soares

2017

Int. J. Artif. Intell. Tools

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Access to information has been made easier in different domains that range from multimedia content, books, music, news, etc. To deal with the huge amount of alternatives, recommendation systems have been often used as a solution to filter the options and provide suggestions of items that might be of interest to an user. The news domain introduces additional challenges due not only to the large amount of new items produced daily but also due to their ephemeral timelife. In this paper, a news recommendation system which combines content-based and georeferenced techniques in a mobility scenario, is proposed. Taking into account the volatility of the information, short-term and long-term user profiles are considered and implicitly built. Besides tracking users’ clicks, the system infers different levels of interest an article has by tracking and weighting each action in the system and in social networks. Impact of the different fields that make up a news is also taken into account by following the inverted pyramid model that assumes different levels of importance to each paragraph of the article. The solution was tested with a population of volunteers and results indicate that the quality of the recommendation approach is acknowledged by the users.

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An Intelligent Mobile Location-Aware Book Recommendation System with Map-Based Guidance That Enhances Problem-Based Learning in Libraries

Cited by 5 publications

References 9 publications

An NFC based context-aware solution for access to bibliographic sources in university environments

An NFC based context-aware solution for access to bibliographic sources in university environments

Location‐based recommendation services in library book stacks

A Hybrid Approach for Personalized News Recommendation in a Mobility Scenario Using Long-Short User Interest

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