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Recommendation systems in public libraries

Abstract

The article describes the technology, applicable in automated library systems and based on collaborative filtration, for forming recommendation lists.

About the Author

A. S. Karaush
Муниципальная информационная библиотечная система г. Томска 634034, г. Томск, ул. Красноармейская, 119
Russian Federation


References

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2. Evaluating collaborative filtering recommender systems / J. L. Herlocker [et al] // ACM Transactions on Inform/Systems. – 2004. – Vol. 22, N 1. – Р. 5–53.

3. Herlocker J. L., Konstan J. A. Content-Independent Task-Focused Recommendation // IEEE Internet Computting. – 2001. – Vol. 5, N 6. – Р. 40–47.

4. Collaborative recommendation: A robustness analysis / M. O'Mahony [et al] // ACM Transactions on Internet Technology. – 2004. – Vol. 4, N 4. – Р. 344–377.

5. Adomavicius G., Tuzhilin A. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions // IEEE Transactions on Knowledge and Data Engineering. – 2005. – Vol. 17, N 6.


Review

For citations:


Karaush A.S. Recommendation systems in public libraries. Bibliosphere. 2009;(1):41-43. (In Russ.)

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ISSN 1815-3186 (Print)
ISSN 2712-7931 (Online)