Introducing specialization in e-commerce recommender systems

被引:11
作者
Palopoli, Luigi [1 ]
Rosaci, Domenico [2 ]
Sarne, Giuseppe M. L. [3 ]
机构
[1] Univ Calabria, DIMSI Dept, I-87036 Arcavacata Di Rende, Italy
[2] Univ Mediterranea Reggio Calabria, DIIES Dept, I-89122 Reggio Di Calabria, Italy
[3] Univ Mediterranea Reggio Calabria, DICEAM Dept, I-89122 Reggio Di Calabria, Italy
来源
CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS | 2013年 / 21卷 / 03期
关键词
Recommender systems; multi-agent systems; distributed architectures; e-commerce; consumer buying behavior; MULTIAGENT SYSTEM; TRUST MEASURES; USER; ALGORITHMS; MODEL;
D O I
10.1177/1063293X13493915
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Currently, customers' trading activities are supported by recommender tools that are able to generate personalized suggestions. Many of these recommenders are centralized, lacking in efficiency and scalability, while others are distributed and, conversely, imply a computational overhead on the client side being often excessive or even unacceptable for many devices. In this article, we propose a distributed recommender, based on a multi-tiered agent system, where the agents of each tier are specialized in a different e-commerce activity. The proposed system is capable of generating effective suggestions without a too onerous computational burden. In particular, we show that our system introduces significant advantages in terms of openness, privacy, and security.
引用
收藏
页码:187 / 196
页数:10
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