CAJ | 학술논문

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。
Top-n추천기술시근년래신식복무영역적일개연구중점화열점。침대운배경하적top-n추천산법진행료심입연구，제출료괄합top-n추천적다층분포식존저가구MDSA（Multilayer Distributed Storage Architecture），병종강저망락전수대개출발，설계료기우MDSA가구적수거편마모식，진이이용map／reduce분포식편정모형래쾌속실현top-n추천。차외，위료만족실제적수구，급출료삼충top-n추천적응용확전。이론분석화실험결과표명，본문소제적방법구유유효성화실용성。
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 .