#Paper Reading# DeepFM: a factorization-machine based neural network for CTR prediction
論文題目: DeepFM: a factorization-machine based neural network for CTR prediction 論文地址: https://www.ijcai.org/proceedings/2017/0239.pdf 論文發表於: IJCAI 2017（CCF A類會議） 論文大體內容： 本文主要介紹了一種融合FM和DNN的模型——DeepFM模型，該
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相關文章
- 1. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction (2017)論文要點
- 2. 《DeepFM: A Factorization-Machine based Neural Network for CTR Prediction》閱讀筆記
- 3. 04-《DeepFM: A Factorization-Machine based Neural Network for CTR Prediction》
- 4. #Paper Reading# Deep Interest Network for Click-Through Rate Prediction
- 5. #Paper Reading# Field-aware factorization machines for CTR prediction
- 6. Paper Reading-1-Recurrent neural network based language model
- 7. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 8. Paper reading (三十五)：Neural-symbolic machine learning for retrosynthesis and reaction prediction
- 9. 論文Product-based Neural Network for User Response Prediction
- 10. #Paper Reading# DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks