A recommendation system for allocating video resources in multiple partitions

A recommendation system for allocating video resources in multiple partitions

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A recommendation system or recommender aims to deliver meaningful recommendations for items or services to any interested party (e.g., users and applications). Recommenders provide their results on top of the collected data related either to the items' and users' description or ratings defined by users. Recommenders can be adopted in the domain of large-scale data management with significant advantages. Due to huge volumes of data, many techniques consider the separation of data into a number of partitions. Analytics are delivered on top of these data partitions and, accordingly, are aggregated to form the final response into the incoming queries. Data separation techniques can be incorporated to allocate the data into the appropriate partitions, thus, to improve the efficiency in the delivery of analytics. In this chapter, we propose a recommendation system responsible for allocating the data to the most appropriate partition according to their current contents. Our approach facilitates the provision of the analytics for each data partition by collecting “similar” data into the same partition. The aim is to support statistical insights into every partition to efficiently define query execution plans. We adopt a decision-making scheme combined with a naïve Bayesian classifier for deriving the appropriate partition. We focus on the management of streams of video files. The proposed recommender derives the appropriate partition for each incoming video file based on a set of characteristics. We evaluate our scheme through a set of simulations that reveal its strengths and weaknesses.

Chapter Contents:

  • 14.1 Introduction
  • 14.2 Related work
  • 14.3 Problem description
  • 14.4 The proposed approach
  • 14.5 Experimental evaluation
  • 14.6 Conclusions and future work
  • References

Inspec keywords: query processing; Bayes methods; pattern classification; data analysis; recommender systems; video signal processing; decision making; statistical analysis; resource allocation

Other keywords: query execution plans; recommendation system; naïve Bayesian classifier; video file stream management; incoming queries; statistical insights; video resource allocation; data analytics; data partitions; user ratings; data separation techniques; large-scale data management; decision-making

Subjects: Information retrieval techniques; Operating systems; Other topics in statistics; Optical, image and video signal processing; Search engines; Data handling techniques; Other topics in statistics; Video signal processing

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