23 citations · 122 across the 31 of their papers we have counts for
6 papers · 2 filters
Challenges for Measuring Usefulness of Interactive IR Systems with Log-based Approaches
Daniel Hienert, Peter Mutschke
The usefulness evaluation model proposed by Cole et al. in 2009 [2] focuses on the evaluation of interactive IR systems by their support towards the user's overall goal, sub goals…
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper
Nicholas J. Belkin, Daniel Hienert, Philipp Mayr +1
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; an…
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search
Daniel Hienert, Dagmar Kern
Models in Interactive Information Retrieval (IIR) are grounded very much on the user's task in order to give system support based on different task types and topics. However, the a…
Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search
Daniel Hienert, Maria Lusky
Within a search session users often apply different search terms, as well as different variations and combinations of them. This way, they want to make sure that they find relevant…
A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services
Daniel Hienert, Peter Mutschke
In Interactive Information Retrieval (IIR) different services such as search term suggestion can support users in their search process. The applicability and performance of such se…
The Role of the Task Topic in Web Search of Different Task Types
Daniel Hienert, Matthew Mitsui, Philipp Mayr +2
When users are looking for information on the Web, they show different behavior for different task types, e.g., for fact finding vs. information gathering tasks. For example, relat…