We introduce active tag recommendation for interactive entity search, an approach that
actively learns to suggest tags from preceding user interactions with the recommended tags …

We address the problem of generating query suggestions to support users in completing
their underlying tasks (which motivated them to search in the first place). Given an initial …

In this paper we provide an overview of the CLEF 2018 Dynamic Search Lab. The lab ran for
the first time in 2017 as a workshop. The outcomes of the workshop were used to define the …

We address the task of generating query suggestions for task-based search. The current
state of the art relies heavily on suggestions provided by a major search engine. In this …

Two key, but usually ignored, issues for the evaluation of methods of personalization for
information retrieval are: that such evaluation must be of a search session as a whole; and …

2 Conclusion As user-centric search and recommender systems evolve, and newer forms of
platforms emerge which help users in their information seeking journeys, learning from user …

The need for search often arises from a broad range of complex information needs or tasks
(such as booking travel, buying a house, etc.) which lead to lengthy search processes …

The ClueWeb09 dataset and its successor, the ClueWeb12 dataset, are two of the largest
collections of Web pages released by Text REtrieval Conference (TREC). The ClueWeb …

Search systems have played an essential role in improving user experience and information
accessibility on the web, allowing users to express their information needs (provided as …

As search systems gradually turn into intelligent personal assistants, users increasingly
resort to a search engine to accomplish a complex task, such as planning a trip, renting an …