Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Carevic, Zeljko"'
Publikováno v:
2023
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 search system based on which insights can be drawn. In this paper, we inves
Externí odkaz:
http://arxiv.org/abs/2303.15036
Publikováno v:
Proc. of JCDL 2022
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 quantify the influence that a retrieval system has on the access to informati
Externí odkaz:
http://arxiv.org/abs/2205.00937
Autor:
Roy, Dwaipayan1 (AUTHOR) Dwaipayan.Roy@iiserkol.ac.in, Carevic, Zeljko2 (AUTHOR), Mayr, Philipp2 (AUTHOR) Philipp.Mayr@gesis.org
Publikováno v:
International Journal on Digital Libraries. Jun2024, Vol. 25 Issue 2, p287-301. 15p.
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 retrieval. ConSTR integrates a two-layered recommendation interface: the firs
Externí odkaz:
http://arxiv.org/abs/2106.04376
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 behaviour for this community. Dataset retrieval, especially in the soci
Externí odkaz:
http://arxiv.org/abs/2006.02770
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 contextual session information during exploratory search especially on
Externí odkaz:
http://arxiv.org/abs/1804.06426
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 social sciences background -- 16 postdoctoral researchers and 16 students
Externí odkaz:
http://arxiv.org/abs/1706.06410
Publikováno v:
D-Lib Magazine, Vol. 23, No. 7/8. Publication date: July 2017
Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recommender systems in the domains of movies, books, and music, there are ra
Externí odkaz:
http://arxiv.org/abs/1706.03428
Autor:
Carevic, Zeljko, Mayr, Philipp
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 Digital Library perspective. The potential of extended versions of "journal
Externí odkaz:
http://arxiv.org/abs/1503.06683
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 38,000 issues derived from 90 different NEP reports over the past ten yea
Externí odkaz:
http://arxiv.org/abs/1503.01082