memory networks

DataFunSummit

Nov 5, 2023 · Artificial Intelligence

Enhancing Recommendation Models with Scaling Law via HCNet and MemoNet: A Memory‑Based Feature‑Combination Approach

This article presents a memory‑driven architecture (HCNet and MemoNet) that equips recommendation models with scaling‑law characteristics by storing and retrieving arbitrary feature‑combination embeddings, evaluates multi‑hash codebooks, memory‑restoring strategies, key‑feature selection, and demonstrates significant offline and online performance gains.

CTR predictionRecommendation systemsfeature interaction

0 likes · 15 min read

Enhancing Recommendation Models with Scaling Law via HCNet and MemoNet: A Memory‑Based Feature‑Combination Approach

DataFunTalk

Dec 1, 2022 · Artificial Intelligence

Advances and Challenges in Controllable Text Generation with Pretrained Language Models

This report reviews the background, recent research progress, practical applications, and future directions of controllable text generation using transformer‑based pretrained language models, highlighting methods such as decoding strategies, prompt learning, memory networks, continual learning, contrastive training, and knowledge integration.

continual learningcontrastive trainingcontrollable text generation

0 likes · 13 min read

Advances and Challenges in Controllable Text Generation with Pretrained Language Models

Tencent Cloud Developer

Dec 21, 2018 · Artificial Intelligence

Tencent Xiaowei Conversational AI Platform: Architecture, Models, and Applications

Tencent Xiaowei is an open, easy‑to‑integrate conversational AI platform that combines NLU, dialogue management and generation, supports multi‑turn context via Memory Networks, uses bidirectional RNN and CNN‑based intent classifiers, and powers smart speakers, TVs and customer‑service bots by leveraging Tencent’s rich content ecosystem.

Intent classificationNLPTencent Xiaowei

0 likes · 11 min read

Tencent Xiaowei Conversational AI Platform: Architecture, Models, and Applications