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Large Language Models for Next Point-of-Interest Recommendation

Autor: Li, Peibo, de Rijke, Maarten, Xue, Hao, Ao, Shuang, Song, Yang, Salim, Flora D.

Publikováno v: In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Association for Computing Machinery, New York, NY, USA, 1463-1472

The next Point of Interest (POI) recommendation task is to predict users' immediate next POI visit given their historical data. Location-Based Social Network (LBSN) data, which is often used for the next POI recommendation task, comes with challenges

Externí odkaz: http://arxiv.org/abs/2404.17591

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Akademický článek

The synergistic effects of heterogeneous structures enhance the strength-ductility of Al-Cu composites

Autor: Li, Peibo ^a, Luo, Guoqiang ^a, Zhang, Xiaoshan ^a, Sun, Yi ^{a, b, ⁎}, Shen, Qiang ^a

Publikováno v: In Journal of Materials Research and Technology November-December 2024 33:7284-7292

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Explainability in Graph Neural Networks: An Experimental Survey

Autor: Li, Peibo, Yang, Yixing, Pagnucco, Maurice, Song, Yang

Graph neural networks (GNNs) have been extensively developed for graph representation learning in various application domains. However, similar to all other neural networks models, GNNs suffer from the black-box problem as people cannot understand th

Externí odkaz: http://arxiv.org/abs/2203.09258

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