[Notes] (SIGIR2022) Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based…這篇真的是🐮🍺🐮🍺！跳脫過往的 Seq Rec，直接轉成 Session-Based Rec！Jun 24, 20222Jun 24, 20222
[Notes] (SIGIR2021) DUMN: Deep User Match Network for Click-Through Rate PredictionPaper LinkJun 23, 2022Jun 23, 2022
[Notes] (SIGIR2022) MM-Rec: Multimodal News Recommendation前方高能：這是一篇結合 Computer Vision & Natural Language Processing & Recommender System 的論文！！！CV + NLP + Recsys！！！Jun 20, 2022Jun 20, 2022
[Notes] (ACL2019) LSTUR: Neural News Recommendation with Long- and Short-term User Representations做 News Rec 一定不能沒聽過這篇論文，本文提供一個簡易上手 LSTUR 概念的介紹，幫助理解這過去曾是 SOTA 的模型！P.S. 本文大量中英文夾雜，是因為有些時候我認為用英文理解作者的原意會比較明確，如有造成閱讀上的不便，敬請見諒！Jun 19, 2022Jun 19, 2022
[Notes] (IJCAI2021) UNBERT: User-News Matching BERT for News Recommendation本文擷取論文重要片段進行筆記，個人認為這篇論文在鋪陳上/說故事上面很有邏輯，推薦有興趣的人可以翻翻原文！Jun 17, 2022Jun 17, 2022
[Notes] (SIGIR2021) Empowering News Recommendation with Pre-trained Language ModelsPaper LinkJun 16, 2022Jun 16, 2022
[Notes] (SIGIR2022) Is News Recommendation a Sequential Recommendation Task?Paper LinkJun 15, 20221Jun 15, 20221
[Notes](EMNLP2019) NRMS: Neural News Recommendation with Multi-Head Self-AttentionPaper LinkMay 27, 2022May 27, 2022
[Notes] (SIGIR2022) CAUM: News Recommendation with Candidate-aware User ModelingPaper LinkMay 17, 2022May 17, 2022
![[Notes] (SIGIR2022) Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based…](https://miro.medium.com/v2/resize:fill:160:106/1*HwdARAKoo0JNtO6tXEO-ZQ.png)
![[Notes] (SIGIR2022) Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based…](https://miro.medium.com/v2/resize:fill:320:214/1*HwdARAKoo0JNtO6tXEO-ZQ.png)
![[Notes] (SIGIR2021) DUMN: Deep User Match Network for Click-Through Rate Prediction](https://miro.medium.com/v2/resize:fill:160:106/1*6Be4sD9eEOMwurij32Ec1Q.png)
![[Notes] (SIGIR2021) DUMN: Deep User Match Network for Click-Through Rate Prediction](https://miro.medium.com/v2/resize:fill:320:214/1*6Be4sD9eEOMwurij32Ec1Q.png)
![[Notes] (SIGIR2022) MM-Rec: Multimodal News Recommendation](https://miro.medium.com/v2/resize:fill:160:106/1*TUG5__we77Ru8Hrfcv_rfQ.png)
![[Notes] (SIGIR2022) MM-Rec: Multimodal News Recommendation](https://miro.medium.com/v2/resize:fill:320:214/1*TUG5__we77Ru8Hrfcv_rfQ.png)
![[Notes] (ACL2019) LSTUR: Neural News Recommendation with Long- and Short-term User Representations](https://miro.medium.com/v2/resize:fill:160:106/1*IHVHtW7sLXOEUrF5-hHKOQ.png)
![[Notes] (ACL2019) LSTUR: Neural News Recommendation with Long- and Short-term User Representations](https://miro.medium.com/v2/resize:fill:320:214/1*IHVHtW7sLXOEUrF5-hHKOQ.png)
![[Notes] (IJCAI2021) UNBERT: User-News Matching BERT for News Recommendation](https://miro.medium.com/v2/resize:fill:160:106/1*ElgSa_wEMELAMnGH6NPrng.png)
![[Notes] (IJCAI2021) UNBERT: User-News Matching BERT for News Recommendation](https://miro.medium.com/v2/resize:fill:320:214/1*ElgSa_wEMELAMnGH6NPrng.png)
![[Notes] (SIGIR2021) Empowering News Recommendation with Pre-trained Language Models](https://miro.medium.com/v2/resize:fill:160:106/1*G_piI1dz5W3YdspgXhPP2A.png)
![[Notes] (SIGIR2021) Empowering News Recommendation with Pre-trained Language Models](https://miro.medium.com/v2/resize:fill:320:214/1*G_piI1dz5W3YdspgXhPP2A.png)
![[Notes] (SIGIR2022) Is News Recommendation a Sequential Recommendation Task?](https://miro.medium.com/v2/resize:fill:160:106/1*8ehAxtKZ_nvpp89M4uwrhg.png)
![[Notes] (SIGIR2022) Is News Recommendation a Sequential Recommendation Task?](https://miro.medium.com/v2/resize:fill:320:214/1*8ehAxtKZ_nvpp89M4uwrhg.png)
 NRMS: Neural News Recommendation with Multi-Head Self-Attention](https://miro.medium.com/v2/resize:fill:160:106/1*voo393NuWzk-3AYX5fU1kw.png)
 NRMS: Neural News Recommendation with Multi-Head Self-Attention](https://miro.medium.com/v2/resize:fill:320:214/1*voo393NuWzk-3AYX5fU1kw.png)
![[Notes] (SIGIR2022) CAUM: News Recommendation with Candidate-aware User Modeling](https://miro.medium.com/v2/resize:fill:160:106/1*CcOYL6VTpVp9bGUeu4nNZw.png)
![[Notes] (SIGIR2022) CAUM: News Recommendation with Candidate-aware User Modeling](https://miro.medium.com/v2/resize:fill:320:214/1*CcOYL6VTpVp9bGUeu4nNZw.png)
