In this paper we study a large query log of more than twenty million queries with the goal of
extracting the semantic relations that are implicitly captured in the actions of users submitting …

Severe privacy leakage in the AOL search log incident has attracted considerable worldwide
attention. However, all the web users' daily search intents and behavior are collected in such …

For a given query raised by a specific user, the Query Suggestion technique aims to
recommend relevant queries which potentially suit the information needs of that user. Due to …

As the exponential explosion of various contents generated on the Web, Recommendation
techniques have become increasingly indispensable. Innumerable different kinds of …

Query suggestion module is an integral part of every search engine. It helps search engine
users narrow or broaden their searches. Published work on query suggestion methods has …

Despite several advances in information retrieval systems and user interfaces, the
specification of queries over text-based document collections remains a challenging …

The human interaction through the web generates both implicit and explicit knowledge. An
example of an implicit contribution is searching, as people contribute with their knowledge …

In this paper we propose a method for the analysis of very large graphs obtained from query
logs, using query coverage inspection. The goal is to extract semantic relations between …

To make the search engine more user-friendly, commercial search engines commonly
develop applications to provide suggestion or recommendation for every posed query …

Learning to Recommend Page 1 Learning to Recommend MA, Hao A Thesis Submitted in Partial
Fulfilment of the Requirements for the Degree of Doctor of Philosophy in Computer Science and …