Abstract
This paper proposes a reactive tabu search algorithm to solve the automatic playlist generation problem effectively. The conventional tabu search, though produces promising results, has the disadvantage of the tabu size being fixed. The tabu size is fixed by the user and it determines the capacity of the memory. A preset parameter does not yield appropriate results in a heuristic algorithm and so there must be mechanisms to make the tabu list size variable in order to get optimum results. The reactive tabu search, has mechanisms to make tabu size variable and thereby avoids often repeated solutions. This proposed method for the playlist generation problem yields better results than the conventional tabu search. The concrete implementation of the method has been described, which is supported by experimental analysis.
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Antony, S., Jayarajan, J.N. (2015). Playlist Generation Using Reactive Tabu Search. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2. Advances in Intelligent Systems and Computing, vol 338. Springer, Cham. https://doi.org/10.1007/978-3-319-13731-5_12
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DOI: https://doi.org/10.1007/978-3-319-13731-5_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13730-8
Online ISBN: 978-3-319-13731-5
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