抽象的

Imporve Quality and Privacy in Personalized Search

Khushal Rathod , Pratibha Chavan

As the size of the Internet continues to grow the users of search providers continually demand search results that are accurate to their needs. Personalized Search is one of the options available to users in order to sculpt search results returned to them based on their personal data provided to the search provider. This raises concerns of privacy issues however as users are typically uncomfortable revealing personal information to an often faceless service provider on the Internet. This paper aims to deal with the privacy issues surrounding personalized search and discusses ways that privacy can be enriched so that users can become more comfortable with the release of their personal data in order to receive more accurate search results.

索引于

学术钥匙
研究圣经
引用因子
宇宙IF
参考搜索
哈姆达大学
世界科学期刊目录
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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