Context-aware seq2seq translation model for sequential recommendation

Article Computer Science, Information Systems

Towards real-time demand-aware sequential POI recommendation

Honglian Wang et al.

Summary: This paper proposes a new method for next point-of-interest (POI) recommendation, called DSPR, by exploring user preferences and real-time demand simultaneously to support the final POI recommendation. Experimental results show that DSPR outperforms many state-of-the-art methods in recommendation performance.

INFORMATION SCIENCES (2021)

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Article Computer Science, Information Systems

Business location planning based on a novel geo-social influence diffusion model

Qian Zeng et al.

Summary: In modern smart cities, businesses rely on social network marketing and third-party delivery systems to serve potential customers, requiring a redefinition of business location planning. A novel influence diffusion model is proposed to simulate the spread of advertisements within geo-social networks, along with an approximation algorithm and pruning strategy to evaluate and select the optimal location. Experimental results demonstrate the effectiveness and efficiency of the approach.

INFORMATION SCIENCES (2021)

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Article Computer Science, Information Systems

TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network

Siyuan Guo et al.

Summary: This study introduces a novel Triple-Attentional Explainable Recommendation method that jointly generates recommendation results and explanations, and demonstrates its effectiveness in both recommendation and explanation through comprehensive experiments on six real-world datasets.

INFORMATION SCIENCES (2021)

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Article Computer Science, Information Systems