Top-n Recommendation Algorithms for Cloud Data

HUANG Zhen-hua

doi:10.3969/j.issn.0372-2112.2015.01.009

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Top-n Recommendation Algorithms for Cloud Data

更新时间：2025-07-16

- Top-n Recommendation Algorithms for Cloud Data
- Acta Electronica Sinica Vol. 43, Issue 1, Pages: 54-61(2015)
- 作者机构：
  
  1. 同济大学计算机科学与工程系,上海,200092
  2. 同济大学嵌入式系统与服务计算教育部重点实验室,上海,200092
  3. 同济大学计算机科学与工程系,上海,200092
  4. 同济大学嵌入式系统与服务计算教育部重点实验室,上海,200092
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.01.009
  CLC： TP311.13
- Published：2015
- 稿件说明：
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HUANG Zhen-hua. Top-n Recommendation Algorithms for Cloud Data[J]. Acta Electronica Sinica, 2015, 43(1): 54-61.
DOI：

HUANG Zhen-hua. Top-n Recommendation Algorithms for Cloud Data[J]. Acta Electronica Sinica, 2015, 43(1): 54-61. DOI： 10.3969/j.issn.0372-2112.2015.01.009.

摘要

Top-n推荐技术是近年来信息服务领域的一个研究重点和热点.针对云环境下的top-n推荐算法进行了深入研究

提出了适合top-n推荐的多层分布式存储架构MDSA(Multilayer Distributed Storage Architecture)

并从降低网络传输代价出发

设计了基于MDSA架构的数据编码模式

进而利用map/reduce分布式编程模型来快速实现top-n推荐.此外

为了满足实际的需求

给出了三种top-n推荐的应用扩展.理论分析和实验结果表明

本文所提的方法具有有效性和实用性.

Abstract

Top-n recommendation technology has recently received a lot of attention in information service community.In this paper

we study the problem of top-n recommendation under the cloud data.Firstly

we propose a multilayer distributed storage architecture(MDSA)which can fit the need of top-n recommendation.Secondly

based on the consideration of reducing the cost of network transmission

we present the data encoding pattern which is based on the MDSA architecture.Lastly

we fast realize top-n recommendation using the map/reduce distributed programming model.For satisfying the realistic requirement

we further present three application variants of top-n recommendation.Massive experiments demonstrate that our approach is efficient and has high overall performance.

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Related Institution

Research Institute of Exploration Southern Division CompanySINOPECChengduSichuan 610041China

Department of Computer Science and TechnologySchool of Computer and Communication EngineeringUniversity of Science and Technology BeijingBeijing 100083China

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Department of Computer Science and Technology,School of Computer and Communication Engineering,University of Science and Technology Beijing

School of Information, Liaoning University

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