Jan 29, 2021 · In this paper, we propose a TRAvel-INtention-aware Out-of-town Recommendation framework, named TRAINOR. The proposed TRAINOR framework ...
We study the out-of-town recommendation problem by modeling user's complex travel intention. • We devise a framework TRAINOR which is able to cap- ture the ...
Oct 22, 2024 · Out-of-town recommendation is designed for those users who leave their home-town areas and visit the areas they have never been to before.
A non-linear mapping function, as well as a matrix factorization method, are employed to transfer users' home-town preference and estimate out-of-town POI's ...
This is the official implementation of our AAAI'21 paper: Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong, Out-of-Town ...
Out-of-Town Recommendation with Travel Intention Modeling. Proceedings of the AAAI Conference on Artificial Intelligence, 35(5), 4529-4536. https://doi.org ...
Pre-travel out-of-town recommendation aims to recommend Point-of-Interests (POIs) to the users who plan to travel out of their hometown in the near future ...
Second, a user-specific travel intention is formulated as an aggregation combining home-town preference and generic travel intention together, where the generic ...
(Ference, Ye, and Lee 2013) proposes a recommender for out-of-town users by taking into account user preference, social influence and geographical proximity. ..
Accurately predicting the user's travel intention can not only cut off the time spending on inputting a place, but also can recommend travel and entertainment ...
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