With the rapid adoption of online shopping, academic research in the eCommerce domain
has gained traction. However, significant research challenges remain, spanning from classic …

Users often fail to formulate their complex information needs in a single query. As a
consequence, they may need to scan multiple result pages or reformulate their queries …

Conversational search and recommendation based on user-system dialogs exhibit major
differences from conventional search and recommendation tasks in that 1) the user and …

Podcasts are a large and growing repository of spoken audio. As an audio format, podcasts
are more varied in style and production type than broadcast news, contain more genres than …

Intelligent personal assistant systems with either text-based or voice-based conversational
interfaces are becoming increasingly popular around the world. Retrieval-based …

We describe a static, open-access news corpus using data from the Common Crawl
Foundation, who provide free, publicly available web archives, including a continuous crawl …

Information seeking conversations between users and Conversational Search Agents
(CSAs) consist of multiple turns of interaction. While users initiate a search session, ideally a …

The Podcast Track is new at the Text Retrieval Conference (TREC) in 2020. The podcast
track was designed to encourage research into podcasts in the information retrieval and …

Users often need to look through multiple search result pages or reformulate queries when
they have complex information-seeking needs. Conversational search systems make it …

Personal assistant systems, such as Apple Siri, Google Assistant, Amazon Alexa, and
Microsoft Cortana, are becoming ever more widely used. Understanding user intent such as …