Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PG$^2$Net: Personalized and Group Preferences Guided Network for Next
  Place Prediction   Predicting the next place to visit is a key in human mobility behavior
modeling, which plays a significant role in various fields, such as epidemic
control, urban planning, traffic management, and travel recommendation. To
achieve this, one typical solution is designing modules based on RNN to capture
their preferences to various locations. Although these RNN-based methods can
effectively learn individual's hidden personalized preferences to her visited
places, the interactions among users can only be weakly learned through the
representations of locations. Targeting this, we propose an end-to-end
framework named personalized and group preference guided network (PG$^2$Net),
considering the users' preferences to various places at both individual and
collective levels. Specifically, PG$^2$Net concatenates Bi-LSTM and attention
mechanism to capture each user's long-term mobility tendency. To learn
population's group preferences, we utilize spatial and temporal information of
the visitations to construct a spatio-temporal dependency module. We adopt a
graph embedding method to map users' trajectory into a hidden space, capturing
their sequential relation. In addition, we devise an auxiliary loss to learn
the vectorial representation of her next location. Experiment results on two
Foursquare check-in datasets and one mobile phone dataset indicate the
advantages of our model compared to the state-of-the-art baselines. Source
codes are available at https://github.com/urbanmobility/PG2Net.

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The categories of this paper are: eess
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The categories of this paper are: hep-lat
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The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ex
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The categories of this paper are: nlin
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The categories of this paper are: stat
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The categories of this paper are: hep-th
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The categories of this paper are: astro-ph
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The categories of this paper are: math-ph
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The categories of this paper are: supr-con
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: physics
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat