activity
20172022
most citedSigned Distance-based Deep Memory Recommender

28 citations · 29 across the 4 of their papers we have counts for

collaborators

6 papers

cs.IR20191 cited

Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation

Thanh Tran, Renee Sweeney, Kyumin Lee

In this paper, we aim to solve the automatic playlist continuation (APC) problem by modeling complex interactions among users, playlists, and songs using only their interaction dat…

cs.IR201928 cited

Signed Distance-based Deep Memory Recommender

Thanh Tran, Xinyue Liu, Kyumin Lee +1

Personalized recommendation algorithms learn a user's preference for an item by measuring a distance/similarity between them. However, some of the existing recommendation models (e…

cs.IR2018

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation

Thanh Tran, Kyumin Lee, Yiming Liao +1

Following recent successes in exploiting both latent factor and word embedding models in recommendation, we propose a novel Regularized Multi-Embedding (RME) based recommendation m…

cs.DC2018

MRAttractor: Detecting Communities from Large-Scale Graphs

Nguyen Vo, Kyumin Lee, Thanh Tran

Detecting groups of users, who have similar opinions, interests, or social behavior, has become an important task for many applications. A recent study showed that dynamic distance…

cs.CY2017

Identifying On-time Reward Delivery Projects with Estimating Delivery Duration on Kickstarter

Thanh Tran, Kyumin Lee, Nguyen Vo +1

In Crowdfunding platforms, people turn their prototype ideas into real products by raising money from the crowd, or invest in someone else's projects. In reward-based crowdfunding…

cs.CY2017

Characteristics of On-time and Late Reward Delivery Projects

Thanh Tran, Kyumin Lee

The crowdfunding market size has increased exponentially, reaching tens of billions of dollars and showing the popularity of crowdfunding. However, according to Kickstarter, 35% ba…