Query similarity calculation is an important problem and has a wide range of applications in
IR, including query recommendation, query expansion, and even advertisement matching …

Search queries can be used to infer preferences and interests of users. While search
engines use this information for, among others, targeted advertising and personalization …

Web search engines (WSEs) locate keywords on websites and retrieve contents from the
World Wide Web. To be successful among its users, the WSE must return the results that …

Nowadays, search engines become more and more important for people, it can help us to
obtain the useful information. Capturing the query intent from use's query can improve the …

In this paper, we tackle the private information retrieval (PIR) problem associated with the
use of Internet search engines. We address the desire for a user to retrieve information from …

Wikipedia's category graph is a network of 300,000 interconnected category labels, and can
be a powerful resource for many classification tasks. However, its size and the lack of order …

Understanding the information need encoded in a user query has long been regarded as a
crucial step of effective information retrieval. In this paper, we focus on subtopic mining that …

It is well-known that for a variety of search tasks involving queries more relevant results can
be presented if they are personalized according to a user's interests and search behavior …

In traditional search engines, the most common way to show results for a query is to list
documents in order of their computed relevance to the query. However, the ranking is …

Semantic Web and Linked Data community is now the reality of the future of the Web. The
standards and technologies defined in this field have opened a strong pathway towards a …