Feb 22, 2024 · Abstract:Live streaming recommender system is specifically designed to recommend real-time live streaming of interest to users.

In this paper, we propose a new data stream design paradigm, dubbed Sliver, that addresses the timeliness and accuracy problem of labels by reducing the window ...

In this paper, we propose a new data stream design paradigm, dubbed Sliver, that addresses the timeliness and accuracy problem of labels by reducing the window ...

In this paper, we propose a new data stream design paradigm, dubbed Sliver, that addresses the timeliness and accuracy problem of labels by reducing the window ...

Experimental results demonstrate that Sliver outperforms two fixed-window data streams with varying window sizes across all targets in four typical multi-task ...

In this paper, we propose a new data stream design paradigm, dubbed Sliver, that addresses the timeliness and accuracy problem of labels by reducing the window ...

Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation. ... ContentCTR: Frame-level Live Streaming ...

Sep 13, 2021 · This work proposes LiveRec, a self-attentive model that personalizes item ranking based on both historical interactions and current ...

Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation ... Data processing system, method, and device.

May 8, 2024 · Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation. ... data under CC0 1.0 license.