3 citations · 3 across the 2 of their papers we have counts for
6 papers
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…
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,…