Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation

Lianyong Qi; Yuwen Liu; Weiming Liu; Shichao Pei; Xiaolong Xu; Xuyun Zhang; Yingjie Wang; Wanchun Dou

Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation

Lianyong Qi
, Yuwen Liu
, Weiming Liu
, Shichao Pei
, Xiaolong Xu
, Xuyun Zhang
, Yingjie Wang
, Wanchun Dou

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024
Editors	Kate Larson
Publisher	International Joint Conferences on Artificial Intelligence
Pages	2306-2314
Number of pages	9
ISBN (Electronic)	9781956792041
State	Published - 2024
Event	33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 - Jeju, Korea, Republic of Duration: Aug 3 2024 → Aug 9 2024

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)	1045-0823

Conference

Conference	33rd International Joint Conference on Artificial Intelligence, IJCAI 2024
Country/Territory	Korea, Republic of
City	Jeju
Period	8/3/24 → 8/9/24

ASJC Scopus Subject Areas

Artificial Intelligence

Cite this

Qi, L., Liu, Y., Liu, W., Pei, S., Xu, X., Zhang, X., Wang, Y., & Dou, W. (2024). Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. In K. Larson (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 2306-2314). (IJCAI International Joint Conference on Artificial Intelligence). International Joint Conferences on Artificial Intelligence.

Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. / Qi, Lianyong; Liu, Yuwen; Liu, Weiming et al.
Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. ed. / Kate Larson. International Joint Conferences on Artificial Intelligence, 2024. p. 2306-2314 (IJCAI International Joint Conference on Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qi, L, Liu, Y, Liu, W, Pei, S, Xu, X, Zhang, X, Wang, Y & Dou, W 2024, Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. in K Larson (ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, pp. 2306-2314, 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, Korea, Republic of, 8/3/24.

Qi L, Liu Y, Liu W, Pei S, Xu X, Zhang X et al. Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. In Larson K, editor, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. International Joint Conferences on Artificial Intelligence. 2024. p. 2306-2314. (IJCAI International Joint Conference on Artificial Intelligence).

Qi, Lianyong ; Liu, Yuwen ; Liu, Weiming et al. / Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. editor / Kate Larson. International Joint Conferences on Artificial Intelligence, 2024. pp. 2306-2314 (IJCAI International Joint Conference on Artificial Intelligence).

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author = "Lianyong Qi and Yuwen Liu and Weiming Liu and Shichao Pei and Xiaolong Xu and Xuyun Zhang and Yingjie Wang and Wanchun Dou",

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AU - Qi, Lianyong

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AU - Zhang, Xuyun

AU - Wang, Yingjie

AU - Dou, Wanchun

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Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation

Publication series

Conference

ASJC Scopus Subject Areas

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