The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

With the emergence of various information access systems exhibiting increasing complexity,
there is a critical need for sound and scalable means of automatic evaluation. To address …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

This chapter studies state-of-the-art research related to multimedia recommender systems
(MMRS), focusing on methods that integrate multimedia content as side information to …

The impact of data characteristics on the performance of classical recommender systems
has been recently investigated and produced fruitful results about the relationship they have …

The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …

Conversational information seeking (CIS) involves interaction sequences between one or
more users and an information system. Interactions in CIS are primarily based on natural …

Generating fluent and informative natural responses while main-taining representative
internal states for search optimization is critical for conversational search systems. Existing …

In this work, we address multi-modal information needs that contain text questions and
images by focusing on passage retrieval for outside-knowledge visual question answering …

The ability to understand a user's underlying needs is critical for conversational systems,
especially with limited input from users in a conversation. Thus, in such a domain, Asking …