Emotional tendency contrast recommendation algorithm based on cloud model

被引：5

作者：

Sui, Geng ^{[1
]}

Qiao, Hong ^{[1
]}

机构：

[1] Shandong Normal University, School of Management Science and Engineering, Jinan

来源：

Journal of Networks | 2014年 / 9卷 / 02期

关键词：

Cloud Model; Emotional Tendency; Recommendation Algorithm; Similarity Computing; Sparsity;

D O I：

10.4304/jnw.9.2.437-442

中图分类号：

学科分类号：

摘要：

Users' emotional needs can be well expressed by emotional attitude and preference in online reviews, so in this paper, we extracted emotional words from users' reviews through establishing emotional tendency corpus for online reviews, and computed emotional scores in fuzzy algorithm. The vector for emotional tendency in online reviews was formed by Cloud Model, and recommendation was run depended on nearest neighbor by similarity computing between cloud model vectors. The experiment proves that this algorithm can provide recommendation by comparing users' emotional tendency on items and count users' emotional tendency in data, when scores in traditional users' scoring matrix are few and sparse. © 2014 Academy Publisher.

引用

页码：437 / 442

页数：5

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