May 13, 2024 · We introduce the TCHN model, which utilizes attentional Hawkes processes to disentangle user self-interest and conformity in a personalized manner.

Oct 21, 2024 · The results reveal that DMPO significantly enhances the recommendation capabilities of LLMs across three real-world public datasets in few-shot scenarios.

Nov 1, 2024 · This paper provides a review and commentary on the past, present, and future of numerical optimization algorithms in the context of machine learning ...

Dec 4, 2024 · An example of a workflow for saving user interaction data and leveraging it in future sessions within a network data visualization recommender system [CLWM11].

Mar 30, 2024 · This research study comprehensively analyzes network intrusion detection in cloud environments by examining several approaches.

Dec 9, 2024 · This paper proposes a novel forecasting method that combines the deep learning method – long short-term memory (LSTM) networks and random forest (RF).

Jan 15, 2024 · Adapting to User Interest Drift for POI Recommendation​​ Point-of-Interest recommendation is an essential means to help people discover attractive locations, ...

Oct 2, 2024 · This review examines recent progress in their development, focusing on fabrication techniques, sensing mechanisms, and performance.

Jan 4, 2024 · In modern online life, recommender systems can help us filter unimportant information. Researchers of recommendation algorithms usually utilize historical ...

Jan 23, 2024 · The European Global Navigation Satellite System (EGNSS) allows users with compatible devices to determine their position, velocity and time by processing ...