Contents published by SALIENT project members


Otto, C., Holzki, S., Ewerth, R., ''Is this an example image?'' - Predicting the Relative Abstractness Level of Image and Text, In Proceedings of European Conference on Information Retrieval (ECIR), Cologne, Germany, 2019. (accepted for publication)

Otto, C., Springstein, M., Anand, A., Ewerth, R., Understanding, Categorizing and Predicting Semantic Image-Text Relations, ACM International Conference on Multimedia Retrieval (ICMR), Ottawa, Canada, 2019. (accepted for publication)


Yu, R., Gadiraju, U., Holtz, P., Rokicki, M., Kemkes, P., Dietze, S., Predicting User Knowledge Gain in Informational Search Sessions, full research track paper at 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2018), Ann Arbor Michigan, U.S.A. July 8-12, 2018, ACM.
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Gadiraju, U., Yu, R., Dietze, S., Holtz, P., Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web, full research track paper at ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR2018), New Brunswick, NJ, US, 11-15 March 2018, ACM.
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Medrek, J.,  Otto, C., Ewerth, R., Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data
In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), 286-292, Porto, Portugal, 2018, .
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Hoppe, A., Holtz, P., Kammerer, Y. , Yu, R., Dietze, S. , Ewerth, R., Current Challenges for Studying Search as Learning Processes
Linked Learning Workshop – Learning and Education with Web Data (LILE), in conjunction with ACM Conference on Web Science, Amsterdam, 2018
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