English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Conversational Information Seeking stands as a pivotal research area withsignificant contributions from previous works. The TREC Interactive KnowledgeAssistance Track (iKAT) builds on the foundational work of the TRECConversational Assistance Track (CAsT). However, iKAT distinctively emphasizesthe creation and research of conversational search agents that adapt responsesbased on user's prior interactions and present context. The challenge lies inenabling Conversational Search Agents (CSA) to incorporate this personalizedcontext to efficiency and effectively guide users through the relevantinformation to them. iKAT also emphasizes decisional search tasks, where userssift through data and information to weigh up options in order to reach aconclusion or perform an action. These tasks, prevalent in everydayinformation-seeking decisions -- be it related to travel, health, or shopping-- often revolve around a subset of high-level information operators wherequeries or questions about the information space include: finding options,comparing options, identifying the pros and cons of options, etc. Given thedifferent personas and their information need (expressed through the sequenceof questions), diverse conversation trajectories will arise -- because theanswers to these similar queries will be very different. In this paper, wereport on the first year of TREC iKAT, describing the task, topics, datacollection, and evaluation framework. We further review the submissions andsummarize the findings.

TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview