23 citations · 200 across the 44 of their papers we have counts for
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Genuine Information Needs of Social Scientists Looking for Data
Andrea Papenmeier, Thomas Krämer, Tanja Friedrich +2
Publishing research data is widely expected to increase its reuse and to inspire new research. In the social sciences, data from surveys, interviews, polls, and statistics are prim…
Continuous Online Evaluation of Recommendation Strategies in Social Science Academic Search
Mehmet Deniz Türkmen, Daniel Hienert
Delivering relevant recommendations in academic search engines is a complex task due to the diversity of subject areas, information types, and user preferences. In this case study,…
AI Overviews in Academic Search: Evaluating AI-generated Summaries of Search Results in a Domain-specific Search Engine
Kevin Schott, Kanishka Silva, Ingo Frommholz +3
Evaluating search engine results pages (SERPs) to assess result relevance is a demanding step in academic search. In a formative mixed-methods design study, we examine AI-generated…
MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval
Mehmet Deniz Türkmen, Suchana Datta, Dwaipayan Roy +3
Users increasingly expect modern search systems to offer a unified interface that seamlessly retrieves information from diverse data sources and formats. However, current informati…
Evaluation of a Search Interface for Preference-Based Ranking -- Measuring User Satisfaction and System Performance
Dagmar Kern, Wilko van Hoek, Daniel Hienert
Finding a product online can be a challenging task for users. Faceted search interfaces, often in combination with recommenders, can support users in finding a product that fits th…
UNDR: User-Needs-Driven Ranking of Products in E-Commerce
Andrea Papenmeier, Daniel Hienert, Firas Sabbah +2
Online retailers often offer a vast choice of products to their customers to filter and browse through. The order in which the products are listed depends on the ranking algorithm…
Dataset of Natural Language Queries for E-Commerce
Andrea Papenmeier, Dagmar Kern, Daniel Hienert +3
Shopping online is more and more frequent in our everyday life. For e-commerce search systems, understanding natural language coming through voice assistants, chatbots or from conv…
Starting Conversations with Search Engines -- Interfaces that Elicit Natural Language Queries
Andrea Papenmeier, Dagmar Kern, Daniel Hienert +3
Search systems on the Web rely on user input to generate relevant results. Since early information retrieval systems, users are trained to issue keyword searches and adapt to the l…
Online Information Retrieval Evaluation using the STELLA Framework
Timo Breuer, Narges Tavakolpoursaleh, Johann Schaible +3
Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in product…
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
Christian Otto, Markus Rokicki, Georg Pardi +9
The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems. SAL research requires significant amounts…
The Role of Word-Eye-Fixations for Query Term Prediction
Masoud Davari, Daniel Hienert, Dagmar Kern +1
Throughout the search process, the user's gaze on inspected SERPs and websites can reveal his or her search interests. Gaze behavior can be captured with eye tracking and described…
Understanding the Information needs of Social Scientists in Germany
Dagmar Kern, Daniel Hienert
The information needs of social science researchers are manifold and almost studied in every decade since the 1950s. With this paper, we contribute to this series and present the r…
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks
Daniel Hienert, Dagmar Kern, Matthew Mitsui +2
In Interactive Information Retrieval (IIR) experiments the user's gaze motion on web pages is often recorded with eye tracking. The data is used to analyze gaze behavior or to iden…
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…
WHOSE - A Tool for Whole-Session Analysis in IIR
Daniel Hienert, Wilko van Hoek, Alina Weber +1
One of the main challenges in Interactive Information Retrieval (IIR) evaluation is the development and application of re-usable tools that allow researchers to analyze search beha…
Dealing with Sparse Document and Topic Representations: Lab Report for CHiC 2012
Philipp Schaer, Daniel Hienert, Frank Sawitzki +2
We will report on the participation of GESIS at the first CHiC workshop (Cultural Heritage in CLEF). Being held for the first time, no prior experience with the new data set, a doc…
Extraction of Historical Events from Wikipedia
Daniel Hienert, Francesco Luciano
The DBpedia project extracts structured information from Wikipedia and makes it available on the web. Information is gathered mainly with the help of infoboxes that contain structu…