12 citations · 45 across the 8 of their papers we have counts for
10 papers
Retrievability in an Integrated Retrieval System: An Extended Study
Dwaipayan Roy, Zeljko Carevic, Philipp Mayr
Retrievability measures the influence a retrieval system has on the access to information in a given collection of items. This measure can help in making an evaluation of the searc…
Studying Retrievability of Publications and Datasets in an Integrated Retrieval System
Dwaipayan Roy, Zeljko Carevic, Philipp Mayr
In this paper, we investigate the retrievability of datasets and publications in a real-life Digital Library (DL). The measure of retrievability was originally developed to quantif…
ConSTR: A Contextual Search Term Recommender
Thomas Krämer, Zeljko Carevic, Dwaipayan Roy +2
In this demo paper, we present ConSTR, a novel Contextual Search Term Recommender that utilises the user's interaction context for search term recommendation and literature retriev…
Characteristics of Dataset Retrieval Sessions: Experiences from a Real-life Digital Library
Zeljko Carevic, Dwaipayan Roy, Philipp Mayr
Secondary analysis or the reuse of existing survey data is a common practice among social scientists. Searching for relevant datasets in Digital Libraries is a somehow unfamiliar b…
Contextualised Browsing in a Digital Library's Living Lab
Zeljko Carevic, Sascha Schüller, Philipp Mayr +1
Contextualisation has proven to be effective in tailoring \linebreak search results towards the users' information need. While this is true for a basic query search, the usage of c…
Investigating Exploratory Search Activities based on the Stratagem Level in Digital Libraries
Zeljko Carevic, Maria Lusky, Wilko van Hoek +1
In this paper we present the results of a user study on exploratory search activities in a social science digital library. We conducted a user study with 32 participants with a soc…
RARD: The Related-Article Recommendation Dataset
Joeran Beel, Zeljko Carevic, Johann Schaible +1
Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recomm…
Extending search facilities via bibliometric-enhanced stratagems
Zeljko Carevic, Philipp Mayr
The paper introduces simple bibliometric-enhanced search facilities which are derived from the famous stratagems by Bates. Moves, tactics and stratagems are revisited from a Digita…
Assessing a human mediated current awareness service
Zeljko Carevic, Thomas Krichel, Philipp Mayr
In this paper, we present an approach for analyzing the behavior of editors in the large current awareness service "NEP: New Economics Papers". We processed data from more than 38,…
Recommender Systems using Pennant Diagrams in Digital Libraries
Zeljko Carevic, Philipp Mayr
In digital libraries recommendations can be valuable for researchers, e.g. recommending related literature to a given context. Typically, in a scientific context the simple present…