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06/03/2022
QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System
Answering multi-relation questions over knowledge graphs is a challengin...
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05/04/2021
Insights on the V3C2 Dataset
For research results to be comparable, it is important to have common da...
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02/18/2021
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
Most existing personalization systems promote items that match a user's ...
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05/19/2020
Diversity in News Recommendations
News diversity in the media has for a long time been a foundational and ...
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01/21/2020
Implementations in Machine Ethics: A Survey
Increasingly complex and autonomous systems require machine ethics to ma...
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09/03/2019
Cross-Cutting Political Awareness through Diverse News Recommendations
The suggestions generated by most existing recommender systems are known...
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06/21/2019
A Comparative Survey of Recent Natural Language Interfaces for Databases
Over the last few years natural language interfaces (NLI) for databases ...
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03/21/2019
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
Reasoning is essential for the development of large knowledge graphs, es...
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03/12/2019
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Knowledge graph embedding aims to learn distributed representations for ...
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12/29/2018
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality
Negative user preference is an important context that is not sufficientl...
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08/20/2018
