Open Access
Survey on Security in Personalized Web Search
TLDR
The require of personalized web search and securing personalized information are discussed, which are becoming important aspect to provide personalized web environments.Abstract:
Nowadays, web has become vast source of Information. In process of acquiring that information, search engines play an important role. The use of World Wide Web is increasing rapidly over the years. Number of search results are obtained or showed by search engines, but less accuracy and poor quality of search results make hard for user to gain information that is needed. In recent years search engines has come up with advanced techniques. Users are not interested to spend time for crucial queries for search. It has found that if search results are late and inaccurate then users are not interested. Require of current situation is to provide immediate and accurate search results. This need can be solved implementing personalized web environments. As it is becoming important aspect to provide personalized web environments many techniques and approaches have developed. But at the same time security of personalized web searches has also gained significance in which personal/private information can not be disclosed by web searches. Personalized web search is proving its effectiveness but also raising matter of privacy and securing personal information. Many personalization methods have been exposed and put into practice. But it is not sure that those methods will make sure their efficiency in dissimilar queries for different users. In this paper we will discuss on require of personalized web search and securing personalized information.read more
Citations
More filters
Journal ArticleDOI
Personalizing Search Based on user Search Histories
TL;DR: An IWS framework called UPS is proposed that can adaptively generalize profiles by queries and evaluates the utility of personalization and the privacy risk of exposing the generalized profile.
References
More filters
Journal ArticleDOI
IR evaluation methods for retrieving highly relevant documents
TL;DR: The novel evaluation methods and the case demonstrate that non-dichotomous relevance assessments are applicable in IR experiments, may reveal interesting phenomena, and allow harder testing of IR methods.
Proceedings ArticleDOI
Personalizing search via automated analysis of interests and activities
TL;DR: This research suggests that rich representations of the user and the corpus are important for personalization, but that it is possible to approximate these representations and provide efficient client-side algorithms for personalizing search.
Proceedings ArticleDOI
Personalized privacy preservation
Xiaokui Xiao,Yufei Tao +1 more
TL;DR: Wang et al. as discussed by the authors presented a new generalization framework based on the concept of personalized anonymity, which performs the minimum generalization for satisfying everybody's requirements, and thus retains the largest amount of information from the microdata.
Proceedings ArticleDOI
A large-scale evaluation and analysis of personalized search strategies
TL;DR: It is revealed that personalized search has significant improvement over common web search on some queries but it also has little effect on other queries, and even harms search accuracy under some situations.
Proceedings ArticleDOI
Context-sensitive information retrieval using implicit feedback
TL;DR: This paper proposes several context-sensitive retrieval algorithms based on statistical language models to combine the preceding queries and clicked document summaries with the current query for better ranking of documents.