User Preference Learning with Multiple Information Fusion for Restaurant Recommendation

By Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong. 2014

46 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Xing Xie
2. Minyi Guo
3. Fuzheng Zhang
4. Chi-Yin Chow
5. Hongwei Wang

In Information Systems

1. Xing Xie
2. Hongwei Wang
3. Fuzheng Zhang
4. Minyi Guo
5. Jia-Dong Zhang
6. Chi-Yin Chow
7. Xiaohan Zou
8. Xiangnan He

In Sociology and Political Science

1. Xing Xie
2. Chi-Yin Chow

Citations in the corpus

• DKN: Deep Knowledge-Aware Network for News Recommendation (2018, background): “First, unlike other items such as movies [9] Figure 1: Illustration of two pieces of news connected through knowledge entities. and restaurants [12], news articles are highly time-sensitive and their relevance expires quickly within a short period (see Section 5.1).”
• GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations (2015, methodology): “…way is to estimate the geographical correlations of check-in POIs as a common distance distribution for all users, e.g., a multi-center Gaussian distribution [2], a power-law distribution [9, 13, 15, 22, 23, 28, 29, 32], or a personalized nonparametric distribution for each user [30, 33, 34].”