Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy
作者：
Highlights：
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• We present a framework SenticRank to incorporate sentiment for personalized search.
• Content-based and collaborative sentiment ranking methods are proposed.
• We compare the proposed sentiment-based search with baselines experimentally.
• We study the influence of sentiment corpora by using some sentiment dictionaries.
• Sentiment-based information can significantly improve performance in folksonomy.
摘要
•We present a framework SenticRank to incorporate sentiment for personalized search.•Content-based and collaborative sentiment ranking methods are proposed.•We compare the proposed sentiment-based search with baselines experimentally.•We study the influence of sentiment corpora by using some sentiment dictionaries.•Sentiment-based information can significantly improve performance in folksonomy.
论文关键词：Social media,Sentiment,User profiling,Folksonomy,Personalized search
论文评审过程：Available online 1 April 2015, Version of Record 10 December 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.03.001
