Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Explainable and Coherent Complement Recommendation Based on Large Language Models.
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Learning to Personalize Recommendation based on Customers' Shopping Intents.
CoRR, 2023
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Coarse-to-Fine Sparse Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
EX3: Explainable Attribute-aware Item-set Recommendations.
,
,
,
,
,
,
,
,
,
,
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Inter-Operator Feedback in Data Stream Management Systems via Punctuation.
Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009
Out-of-order processing: a new architecture for high-performance stream systems.
Proc. VLDB Endow., 2008
AdaptWID: An Adaptive, Memory-Efficient Window Aggregation Implementation.
IEEE Internet Comput., 2008
Travel time estimation using NiagaraST and latte.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007
No pane, no gain: efficient evaluation of sliding-window aggregates over data streams.
SIGMOD Rec., 2005
Semantics and Evaluation Techniques for Window Aggregates in Data Streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005
Semantics of Data Streams and Operators.
Proceedings of the Database Theory, 2005