MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings
Anders Brams, Anders Jakobsen, Theis Jendal, Matteo Lissandrini, Peter Dolog and Katja Hose
Download a digital copy (PDF) or Test the tool and Dowload the data
The final authenticated version is available online at 10.1145/3340531.3412759.
Abstract :
Cite:
Brams, Anders; Jakobsen, Anders; Jendal, Theis; Lissandrini, Matteo; Dolog, Peter; and Hose, Katja.
“MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings.”
Proceedings of the Conference on Information and Knowledge Management (CIKM 2020) (pp. 2975-2982).https://mindreader.tech/favicon.ico
@inproceedings{10.1145/3340531.3412759,
author = {Brams, Anders H. and Jakobsen, Anders L. and Jendal, Theis E. and Lissandrini, Matteo and Dolog, Peter and Hose, Katja},
title = {MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings},
year = {2020},
isbn = {9781450368599},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3340531.3412759},
doi = {10.1145/3340531.3412759},
booktitle = {Proceedings of the 29th ACM International Conference on Information & Knowledge Management},
pages = {2975–2982},
numpages = {8},
keywords = {knowledge graph, dataset, recommender systems, content-based filtering, collaborative filtering},
location = {Virtual Event, Ireland},
series = {CIKM '20}
}