Many conversational agents (CAs) are developed to answer users' questions in a
specialized domain. In everyday use of CAs, user experience may extend beyond satisfying …

Query auto-completion (QAC) is one of the most prominent features of modern search
engines. The list of query candidates is generated according to the prefix entered by the …

After an end-user has partially input a query, intelligent search engines can suggest
possible completions of the partial query to help end-users quickly express their information …

Data grids provide geographically distributed resources for large-scale data-intensive
applications that generate large data sets. However, ensuring efficient and fast access to …

Session search is a complex search task that involves multiple search iterations triggered by
query reformulations. We observe a Markov chain in session search: user's judgment of …

Session search is the Information Retrieval (IR) task that performs document retrieval for a
search session. During a session, a user constantly modifies queries in order to find relevant …

Query suggestion is an interactive approach for search engines to better understand users
information need. In this paper, we propose a novel query suggestion framework which …

Recent progress in machine learning has given rise to a plethora of tools and applications
that rely on conversational interactions, from chatbots, speech-controlled devices to robots …

In this article, we propose a Latent Dirichlet Allocation–(LDA) based topic-graph probabilistic
personalization model for Web search. This model represents a user graph in a latent topic …

Information about a user's domain knowledge and interest can be important signals for many
information retrieval tasks such as query suggestion or result ranking. State-of-the-art user …