abhayshukla.comDIN: Deep Interest Network for Click-Through Rate PredictionDIN is published by Alibaba and Taobao in KDD’2018. The paper mentions that DIN was successfully deployed in the online display advertising system in Alibaba, serving the main traffic. Full Paper: Deep Interest Network for Click-Through Rate Predicti...Aug 23, 2025·3 min read
abhayshukla.comAttriBERT - Session-based Product Attribute Recommendation with BERTAuthors in this paper propose approach to recommend personalized refinements (or filters) in feeds, such as search results, based on in-session user interactions. The model is based on the encoder only architecture of BERT and uses the Masked Languag...Dec 27, 2024·4 min read
abhayshukla.comInterpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerceAuthors propose Online Personalized Attribute-based Re-ranker (OPAR), a light-weight, within-session personalization approach using multi-arm bandits (MAB). Each arm of the MAB represents an attribute. As users interact with products, the bandit lear...Dec 3, 2024·3 min read
abhayshukla.comLuong AttentionLuong Attention is proposed in the paper Effective Approaches to Attention-based Neural Machine Translation with two variants Global Attention Local Attention The proposed NMT model architecture consists of LSTM encoder to encode input sequences ...Dec 1, 2024·2 min read
abhayshukla.comHard, Soft and Doubly Stochastic AttentionFor the image captioning task, the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention proposes three different attention mechanisms, Stochastic Hard Attention Deterministic Soft Attention Doubly Stochastic Attention...Nov 30, 2024·2 min read
