126 citations · 279 across the 40 of their papers we have counts for
5 papers · 1 filter
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
Walid Shalaby, Sejoon Oh, Amir Afsharinejad +2
Session-based recommender systems (SBRSs) have shown superior performance over conventional methods. However, they show limited scalability on large-scale industrial datasets since…
Implicit Session Contexts for Next-Item Recommendations
Sejoon Oh, Ankur Bhardwaj, Jongseok Han +3
Session-based recommender systems capture the short-term interest of a user within a session. Session contexts (i.e., a user's high-level interests or intents within a session) are…
Overcoming Language Disparity in Online Content Classification with Multimodal Learning
Gaurav Verma, Rohit Mujumdar, Zijie J. Wang +2
Advances in Natural Language Processing (NLP) have revolutionized the way researchers and practitioners address crucial societal problems. Large language models are now the standar…
Characterizing, Detecting, and Predicting Online Ban Evasion
Manoj Niverthi, Gaurav Verma, Srijan Kumar
Moderators and automated methods enforce bans on malicious users who engage in disruptive behavior. However, malicious users can easily create a new account to evade such bans. Pre…
Rank List Sensitivity of Recommender Systems to Interaction Perturbations
Sejoon Oh, Berk Ustun, Julian McAuley +1
Prediction models can exhibit sensitivity with respect to training data: small changes in the training data can produce models that assign conflicting predictions to individual dat…