A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135-1143, 2017.

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Abstract:

Spatial item recommendation has become an important means to help people discover interesting locations, especially when people pay a visit to unfamiliar regions. Some current researches are focusing on modelling individual and collective geographical preferences for spatial item recommendation based on users' check-in records, but they f...More

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