Xiaoling Wang
6 papers in the PaperMetrix corpus
Papers by this author
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Hotel recommendation based on user preference analysis
2015
Recommender system offers personalized suggestions by analyzing user preference. However, the performance falls sharply when it encounters sparse data, especially meets a cold start user. Hotel is such kind of goods that suffers a lot …
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CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework
2015 · IEEE Transactions on Knowledge and Data Engineering
Explosive growth in the number of passwords for Web based applications and encryption keys for outsourced data storage well exceeds the management limit of users. Therefore, outsourcing keys (including passwords and data encryption keys) to …
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POEM: Position Order Enhanced Model for Session-based Recommendation Service
2020
Session-based recommendation, which aims to predict the next action of an anonymous user base on the interaction information in a session, plays a crucial role in many online services. Recent works solve the problem with …
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Fair Differential Privacy Can Mitigate the Disparate Impact on Model Accuracy
2021
The techniques based on the theory of differential privacy (DP) has become a standard building block in the machine learning community. DP training mechanisms offer strong guarantees that an adversary cannot determine with high confidence …
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Dual Sparse Attention Network For Session-based Recommendation
2021 · Proceedings of the AAAI Conference on Artificial Intelligence
Session-based Recommendations recommend the next possible item for the user with anonymous sessions, whose challenge is that the user’s behavioral preference can only be analyzed in a limited sequence to meet their need. Recent advances …
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RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
2021
In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to deep learning algorithms. However, the concerns about how to standardize open source implementation of recommendation …