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Chih-Ming Chen 0003
Person information
- unicode name: 陳志銘
- affiliation: National Chengchi University, Department of Computer Science, Taiwan
Other persons with the same name
- Chih-Ming Chen — disambiguation page
- Chih-Ming Chen 0001 — National Chengchi University, Graduate Institute of Library, Information and Archival Studies, Taipei, Taiwan (and 2 more)
- Chih-Ming Chen 0002 — National Chung Hsing University, Department of Chemical Engineering, Taiwan
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2020 – today
- 2022
- [j2]Ting-Hsiang Wang, Hsiu-Wei Yang, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang:
Item Concept Network: Towards Concept-Based Item Representation Learning. IEEE Trans. Knowl. Data Eng. 34(3): 1258-1274 (2022) - [c15]Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin:
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. AAAI 2022: 7479-7487 - [c14]Shih-Yang Liu, Hsien-Hao Chen, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang:
IPR: Interaction-level Preference Ranking for Explicit feedback. SIGIR 2022: 1912-1916 - 2021
- [j1]Eva Zangerle, Chih-Ming Chen, Ming-Feng Tsai, Yi-Hsuan Yang:
Leveraging Affective Hashtags for Ranking Music Recommendations. IEEE Trans. Affect. Comput. 12(1): 78-91 (2021) - [c13]Chih-Hen Lee, Jun-En Ding, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang:
LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking. SIGIR 2021: 2222-2226 - [i4]Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin:
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. CoRR abs/2112.04274 (2021) - 2020
- [c12]Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim:
TPR: Text-aware Preference Ranking for Recommender Systems. CIKM 2020: 215-224 - [c11]Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai:
Skewness Ranking Optimization for Personalized Recommendation. UAI 2020: 400-409 - [i3]Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai:
Skewness Ranking Optimization for Personalized Recommendation. CoRR abs/2005.12971 (2020)
2010 – 2019
- 2019
- [c10]Chih-Ming Chen, Ting-Hsiang Wang, Chuan-Ju Wang, Ming-Feng Tsai:
SMORe: modularize graph embedding for recommendation. RecSys 2019: 582-583 - [c9]Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang:
Collaborative Similarity Embedding for Recommender Systems. WWW 2019: 2637-2643 - [i2]Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang:
Collaborative Similarity Embedding for Recommender Systems. CoRR abs/1902.06188 (2019) - 2018
- [c8]Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai:
HOP-rec: high-order proximity for implicit recommendation. RecSys 2018: 140-144 - [c7]Kwei-Herng Lai, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang:
NavWalker: Information Augmented Network Embedding. WI 2018: 9-16 - 2017
- [i1]Chih-Ming Chen, Yi-Hsuan Yang, Yian Chen, Ming-Feng Tsai:
Vertex-Context Sampling for Weighted Network Embedding. CoRR abs/1711.00227 (2017) - 2016
- [c6]Chih-Ming Chen, Ming-Feng Tsai, Yu-Ching Lin, Yi-Hsuan Yang:
Query-based Music Recommendations via Preference Embedding. RecSys 2016: 79-82 - [c5]Chih-Ming Chen, Chun-Yao Yang, Chih-Chun Hsia, Yian Chen, Ming-Feng Tsai:
Music Playlist Recommendation via Preference Embedding. RecSys Posters 2016 - 2015
- [c4]Chih-Ming Chen, Po-Chuan Chien, Yu-Ching Lin, Ming-Feng Tsai, Yi-Hsuan Yang:
Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems. RecSys Posters 2015 - 2014
- [c3]Chih-Ming Chen, Hsin-Ping Chen, Ming-Feng Tsai, Yi-Hsuan Yang:
Leverage Item Popularity and Recommendation Quality via Cost-Sensitive Factorization Machines. ICDM Workshops 2014: 1158-1162 - 2013
- [c2]Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, Yi-Hsuan Yang:
Using emotional context from article for contextual music recommendation. ACM Multimedia 2013: 649-652 - [c1]Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, Yi-Hsuan Yang:
Music Recommendation Based on Multiple Contextual Similarity Information. Web Intelligence 2013: 65-72
Coauthor Index
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