Conversational search is a crucial and promising branch in information retrieval. In this
paper, we reveal that not all historical conversational turns are necessary for understanding …

Context information in search sessions has proven to be useful for capturing user search
intent. Existing studies explored user behavior sequences in sessions in different ways to …

Users' complex information needs usually require consecutive queries, which results in
sessions with a series of interactions. Exploiting such contextual interactions has been …

Users' search tasks have become increasingly complicated, requiring multiple queries and
interactions with the results. Recent studies have demonstrated that modeling the historical …

Recent studies show that historical behaviors (such as queries and their clicks) contained in
a search session can benefit the ranking performance of subsequent queries in the session …

In session search, it's important to utilize historical interactions between users and the
search engines to improve document retrieval. However, not all historical information …

Providing personalization in product search has attracted increasing attention in both
industry and research communities. Most existing personalized product search methods …

Contextual information in search sessions is important for capturing users' search intents.
Various approaches have been proposed to model user behavior sequences to improve …

Despite its troubled past, the AOL Query Log continues to be an important resource to the
research community—particularly for tasks like search personalisation. When using the …

Session search is a widely adopted technique in search engines that seeks to leverage the
complete interaction history of a search session to better understand the information needs …