A Distributed Computing Platform for Task Stream Processing

Weiyan, Xing; Huang, Wenqing; Liu, Dong; You-yi, Deng

doi:10.1007/978-3-642-53932-9_11

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Product Recommendation Towards Big Data1

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2018

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“…To get the computations time efficient and storage efficient various distributed computing platforms are required. Distribution computing platform is the integration of multiple nodes which are connected by some network to complete a common work [5]. [6] discussed different approaches to mounting the performance of collaborative filtering algorithm.…”

Section: Product Recommendation Towards Big Datamentioning

confidence: 99%

Hike the Performance of Collaborative Filtering Algorithm with the Inclusion of Multiple Attributes

Wadhvani¹,

Chauhan²

2018

IJITCS

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Abstract-At a recent time, digital data increases very speedily from small business to large business. In this span of internet explosion, choices are also increases and it makes the selection of products very difficult for users so it demands some recommendation system which provides good and meaningful suggestions to users to help them to purchase or select products of their own choice and get benefited. Collaborative filtering technique works very productive to provide personalized suggestions. It works based on the past given ratings, behavior and choices of users to provide recommendations. To boost its performance many other algorithms and techniques can be combined with it. This paper describes the method to boost the performance of collaborative filtering algorithm by taking multiple attributes in consideration where each attribute has some weight.

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Section: Product Recommendation Towards Big Datamentioning

confidence: 99%