In this paper, we propose a joint predictor, JUMP, for both user click and dwell time in session-based settings. To map its input into a feature vector, JUMP ...

May 15, 2018 · In this phase, the model treats the time prediction as a more important task and compromises the click prediction accuracy for the time ...

Jul 13, 2018 · In this paper, we propose a joint predictor, JUMP, for both user click and dwell time in session-based settings. To map its input into a feature ...

A joint predictor, JUMP, is proposed for both user click and dwell time in session-based settings, which outperforms state-of-the-art methods in both user ...

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), ...

In this paper, we propose a joint predictor, JUMP, for both user click and dwell time in session-based settings. To map its input into a feature vector, JUMP ...

Jul 5, 2018 · In this paper, we propose a joint predictor, JUMP, for both user click and dwell time in session-based settings. To map its input into a feature ...

In this paper, we propose a joint predictor, JUMP, for both user click and dwell time in more » ... settings. To map its input into a feature vector, JUMP ...

Dwell time is modeled by survival analysis, which has sound underlying mathematical principles. Based on this, a joint predictor is designed for both user click ...

Jump: A joint predictor for user click and dwell time. T Zhou, H Qian, Z Shen, C Zhang, C Wang, S Liu, W Ou. Proceedings of the 27th International Joint ...