Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them.

@inproceedings{beel-2017-realworld, author = {J\"{o}ran Beel and Siddarth Dinesh}, editor = {Philipp Mayr and Ingo Frommholz and Guillaume Cabanac}, title = {{Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them}}, booktitle = {{Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 39th European Conference on Information Retrieval (ECIR 2017), Aberdeen, UK, April 9th, 2017}}, series = {CEUR Workshop Proceedings}, volume = {1823}, pages = {6--17}, publisher = {CEUR-WS.org}, year = {2017}, url = {https://ceur-ws.org/Vol-1823/paper1.pdf} }