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Showing results 1 to 6 of 6

1
Convolutional Matrix Factorization for Document Context-Aware Recommendation

Kim, Donghyun; Park, Chanyoung; Yu, Hwanjo; Oh, Jinoh, 10th ACM Conference on Recommender Systems, RecSys '16, pp.233 - 240, ACM, 2016-09-15

2
Deep hybrid recommender systems via exploiting document context and statistics of items

Kim, Donghyun; Park, Chanyoung; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.417, pp.72 - 87, 2017-11

3
Do "Also-Viewed" Products Help User Rating Prediction?

Park, Chanyoung; Yu, Hwanjo; Kim, Donghyun; Oh, Jinoh, WWW '17: Proceedings of the 26th International Conference on World Wide Web, pp.1113 - 1122, International World Wide Web Conference Committee, 2017-04-03

4
Improving top-K recommendation with truster and trustee relationship in user trust network

Park, Chanyoung; Kim, Donghyun; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.374, pp.100 - 114, 2016-12

5
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling

Park, Chanyoung; Kim, Donghyun; Oh, Jinoh; Yu, Hwanjo, 9th ACM Conference on Recommender Systems, pp.1 - 4, ACM, 2015-09-16

6
TRecSo: Enhancing Top-k Recommendation With Social Information

Park, Chanyoung; Kim, Donghyun; Oh, Jinoh; Yu, Hwanjo, WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web, pp.89 - 90, International World Wide Web Conference Committee, 2016-04-15

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