Yen-Liang Chen
Biographic Data
| ID | 6888503 |
|---|---|
| NAME | Yen-Liang Chen |
| GIVEN NAMES | Yen-Liang |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN Y |
| AFFILIATIONS | National Central University |
| ORCID | 0000-0001-9103-772X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Deep Recommendation Model Considering the Impact of Time and Individual Diversity
Collaborative filtering (CF) technology has been widely used in recommendation systems. Usually, the latent factor model (LFM) is used as the basis for implementing CF recommendation in deep learning systems. This study differs from previous studies in two respects. First, for different target items, the user embedding vector should be dynamically adjusted according to the content of the target item. Therefore, we have added an attention mechanis…
G-TransRec
Recently, due to the surge in e-commerce, growing attention has been paid to how to recommend a customer's next purchase based on sequential or session-based data. However, most prior studies have generally focused on what items may be interesting for users, but have neglected the consideration of when the next items are likely to be purchased. Clearly, the timing information is an essential factor for companies to adopt proper selling strategies…
Good Money Drives Out Bad
Gresham's law states only one precondition: in the world of metal coins, if there is a fixed rate of exchange between good and bad money, then bad money will drive out good. We argue, however, that when there is no fixed exchange rate between good and bad money, and when the government encourages free coinage, then it is possible for good money to drive out bad. We use these two preconditions to explain why the sizhu coins were successful during …
No prominent works on this page.
Good Money Drives Out Bad
Gresham's law states only one precondition: in the world of metal coins, if there is a fixed rate of exchange between good and bad money, then bad money will drive out good. We argue, however, that when there is no fixed exchange rate between good and bad money, and when the government encourages free coinage, then it is possible for good money to drive out bad. We use these two preconditions to explain why the sizhu coins were successful during …
A Deep Recommendation Model Considering the Impact of Time and Individual Diversity
Collaborative filtering (CF) technology has been widely used in recommendation systems. Usually, the latent factor model (LFM) is used as the basis for implementing CF recommendation in deep learning systems. This study differs from previous studies in two respects. First, for different target items, the user embedding vector should be dynamically adjusted according to the content of the target item. Therefore, we have added an attention mechanis…
G-TransRec
Recently, due to the surge in e-commerce, growing attention has been paid to how to recommend a customer's next purchase based on sequential or session-based data. However, most prior studies have generally focused on what items may be interesting for users, but have neglected the consideration of when the next items are likely to be purchased. Clearly, the timing information is an essential factor for companies to adopt proper selling strategies…
Computer Science (2 works) · Political science (2 works) · Recommender Systems and Techniques (2 works) · Advanced Bandit Algorithms Research (1 work) · Advanced Graph Neural Networks (1 work) · Ancient history (1 work) · Argument (complex analysis (1 work) · Artificial Intelligence (1 work) · Data science (1 work) · Economics (1 work)