Overview of the TREC Tasks Track 2016.

Research in Information Retrieval has traditionally focused on serving the best results for a single query, ignoring the reasons (or the task) that might have motivated the user to submit that query. Often times search engines are used to complete complex tasks (information needs); achieving these tasks with current search engines requires users to issue multiple queries. For example, booking travel to a location such as London could require the user to submit various queries such as flights to London, hotels in London, points of interest around London etc. Standard evaluation mechanisms focus on evaluating the quality of a retrieval system in terms of the relevance of the results retrieved, completely ignoring the fact that user satisfaction mainly depends on the usefulness of the system in helping the user complete the actual task that led the user issue the query. Similar to Tasks Track 2015 [1], Tasks Track 2016 is an attempt investigate quality of retrieval systems in terms of (1) how well they can understand the underlying task that led the user submit a query, and (2) how useful they are for helping users complete their tasks.