Today's multimedia search engines are expected to respond to queries reflecting a wide
variety of information needs from users with different goals. The topical dimension (“what” …

Most existing search result diversification algorithms diversify search results in terms of a
specific dimension. In this paper, we argue that search results should be diversified in a …

A better understanding of what motivates humans to perform certain actions is relevant for a
range of research challenges including generating action sequences that implement goals …

Web search queries are often ambiguous or faceted, and the task of identifying the major
underlying senses and facets of queries has received much attention in recent years. We …

A novel technique, which uses a joint audio-visual analysis for scene identification and
characterization, is proposed. The paper defines four different scene types: dialogues …

Search results from the search engine may be not enough to satisfy users' search intent
when the issued query is broad or ambiguous. In such cases, presenting to the user query …

Query performance prediction methods are usually applied to estimate the retrieval
effectiveness of queries, where the evaluation is largely system sided. However, little work …

In this paper, we propose a query ranking model to select and order queries for search
engine query recommendations. In contrast to existing similarity-based query …

Search engines aim at hel** users find relevant results from the Web. Understanding the
underlying intent of queries issued to search engines is a critical step toward this goal. Till …

People interact with interfaces to accomplish goals, and knowledge about human goals can
be useful for building intelligent user interfaces. We suggest that modeling high, human …