Conversational and Recommender Systems (AY 2020/2021, Semester II (2020))
AY 2020/2021, Semester II (2020)
To see the most current syllabus, click on the top WING Reading Group (CS6101) link.
Our reading group was conducted as a group seminar, with class participants nominating themselves and presenting the materials and leading the discussion. In Sem II of AY2020/2021, we focused on the topics of
Conversational Systems, Recommender Systems and their intersections.
[ 00:00 ] Start - CS6101 / DYC1401 administration, presented by Min-Yen Kan
[ 36:00 ] Overview of Dialogue Systems, presented by Yisong Miao
[ 45:11 ] Qin et al. (2020) "DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification". [ PDF ] In AAAI'2020, presented by Min-Yen Kan
[ 1:26:45 ] Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, Yulia Tsvetkov. "DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues" [ PDF@OpenReview ], Accepted@ICLR '21, presented by Lin Xu
[ 2:08:00 ] Li et al. (2020) "Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training". [ PDF ] In ACL'2020, presented by Yuxi Xie
NUS Week 03 Thur, 28 Jan
Project Consultation Session 1, led by Min-Yen Kan
[ 00:00 ] Start - CS6101 / DYC1401 administration, presented by Min-Yen Kan
[ 12:32 ] Zhang et al. (2020) "DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation" [ PDF ], ACL'2020, presented by Muhd Assyarul Ariffin Bin Omar, Axel Lau
[ 28:21 ] Wu & Xiong (2020) "Probing Task-Oriented Dialogue Representation from Language Models" [ PDF ], EMNLP'2020, presented by Abhinav Ramesh Kashyap, Stephen Tan
[ 1:25:51 ] Lei et al. (2018) "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures". [ PDF ] In ACL'2018, presented by Xiong An Lee, Tongyao Zhu
NUS Week 05 Thur, 11 Feb
Project Consultation Session 2, led by Min-Yen Kan
Lecturers: Yisong Miao, Takanori Aoki, Gabriel Loye Hean Yong, Aadit Rahul Kamat, Yeo Qi Xun, Chan Guan Hao, Tian Zhen, Lu Xinyuan Support Staff: Stephen Tan Hin Khai, Axel Lau Wei En, Abhinav Ramesh Kashyap, Clarence Ong, Li Xinze, Ruchen Zhen
[ 4:31 ] Zheng et al. (2021) "Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding" [ PDF ], accepted by WWW'2021, presented by presented Yisong Miao and Gabriel Loye
[ 50:55 ] Saito (2020) "Unbiased Pairwise Learning from Implicit Feedback" [ PDF ], ICTIR '2020, presented by Takanori Aoki and Aadit Rahul Kamat
[ 1:36:17 ] Xu et al. (2021) "Causal Collaborative Filtering" [ PDF ], ArXiv preprint, presented by Qi Xun, Tian Zhen and Xinyuan Lu
NUS Week Recess Thur, 25 Feb
Project Consultation Session 3, led by Min-Yen Kan
Lecturers: Xu Pengtai, Ran Yiding, Clarence Ong, Sashank C. Kumar, Li Xinze, Chan Guan Hao, and Kong Zijin Support Staff: Nham Quoc Hung, Li Zihan, Lee Xiong An, Evan Chong and Shreyas Kuthanoor Prakash
[ 5:31 ] Guo et al. (2017) "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction" [ PDF ], IJCAI'2017, presented by Xu Pengtai and Ran Yiding
[ 51:55 ] Zheng et al. (2020) "A Novel Hybrid Deep Recommendation System to Differentiate User’s Preference and Item’s Attractiveness", [ Closed Access ], Information Sciences, presented by Clarence Ong and Sashank C. Kumar
[ 1:36:00 ] Yuan et al. (2019) "A Simple Convolutional Generative Network for Next Item Recommendation" [ PDF ], WSDM'2019, presented by Li Xinze, Chan Guan Hao, and Kong Zijin
NUS Week 08 Thur, 11 Mar
Project Consultation Session 4, led by Min-Yen Kan
[ 3:35 ] Diversifying Dialogue Generation with Non-Conversational Text by Yeo Qi Xun, Tian Zhen and Xie Yuxi
[ 26:55 ] Unbiased Recommender / Search Systems by Causal Inference by Takanori Aoki and Aadit Rahul Kamat
[ 43:10 ] DeepFM: Neural Network for Advertisement Recommendation by Muhammad Assyarul Ariffin, Lee Xiong An and Xu Pengtai
[ 56:35 ] Inductive Matrix Completion based on Graph Neural Network (IGCM) by Joel Tan Wan Rong, Chan Guan Hao, Wendi Ren, Stephen Tan Hin Khai and Axel Lau Wei En
[ 1:11:50 ] Neural Collaborative Filtering by Clarence Ong, Nham Quoc Hung, Gabriel Loye Hean Yong and Sashankh Chengavalli Kumar
[ 1:22:05 ] Causal Estimation by Yisong Miao and Chengxin Wang
Lecturers: Joel Tan Wan Rong, Nham Quoc Hung, Qiao Rui, Wang Chengxin, Liu Hongfu and Victor Li Chuang Scribes / Support Staff: Henry Kasim, Chan Guan Hao, Taha Aksu, Takanori Aoki, Kong Zijin and Liu Yong
[ 05:00 ] Introduction to Conversation Recommendation Systems by Victor Li Chuang
[ 19:43 ] Xu et al. (2020) "User Memory Reasoning for Conversational Recommendation" [ PDF ], COLING'2020, presented by Wang Chengxin and Nham Quoc, Slides 2-32
[ 1:05:12 ] Chen et al. (2019) "Towards Knowledge-Based Recommender Dialog System" [ PDF ], EMNLP'2019, presented by Liu Hongfu, Qiao Rui, and Joel, Slides 33–47
[ 1:35:54 ] Xu et al. (2021) "Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation" [ PDF ], WSDM'2021, presented by Gangyi Zhang and Kong Zijin, Slides 48-68
NUS Week 10 Thur, 25 Mar
Project Consultation Session 5, led by Min-Yen Kan
Descriptions:
Short session to introduce the projects. Most work conducted in the respective breakout rooms (not recorded).
For DYOM / CS6101-1 group (Breakout room 1 – 15 mins each): · Counterfactual Recommender/Search Systems (@taka, @Aadit Rahul Kama) · IGMC (@Stephen Tan, @Wendi Ren, @Axel Lau, @Joel Tan Wan Rong, @Chan Guan Hao) · Causal Estimation (@Yisong, @WANG CHENGXIN’s)
For DYOM / CS6101-1 group (Breakout room 2 – 15 mins each): · KGRecSys (@Evan Chong, @Rabiul Awal) · Neural Collaborative Filtering (@Gabriel Loye, @Clarence Ong, @Nham Quoc Hung, @Sashankh CK) · DeepFM: NN for Ad Recommendation (@Muhd Assyarul Ariffin Bin Omar, @Pengtai, @Lee XA)
Lecturers: Hu Hengchang, Taha Ibrahim Aksu, Sam Broughton, Wendi Ren, Zhang Tianyang Scribes/ Support Staff: Muhd Assyarul, Ran Yiding, Zhu Tongyao, Xu Pengtai, Liu Hongfu
[ 03:50 ] Penha and Hauff (2020) "What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation" [ PDF ], RecSys'2020, presented by Hengchang and Taha
[ 47:00 ] Zhou et al. (2020) "Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion" [ PDF ], KDD'2020, presented by Sam and Wendi
[ 1:27:30 ] Zhang et al. (2020) "Conversational Contextual Bandit: Algorithm and Application" [ PDF ], WWW'2020, presented by Tianyang and Weicong
Lecturers: Liu Ruofan, Liu Yong, Li Zihan, Henry Kasim, Evan Chong, Shreyas Kuthanoor Prakash Scribes/ Support Staff:Sashankh Chengavalli Kumar, Wang Chengxin, Sng Weicong, Samuel Broughton, Wendi Ren, Hu Hengchang, Lu Xinyuan, Zhang Tianyang
[ 03:38 ] Chen et al. (2020) "Towards Explainable Conversational Recommendation" [ PDF ], IJCAI'2020, presented by Li Zihan, Henry Kasim, Evan Chong (Slides 1-32)
[ 58:24 ] Li. et al. (2021) "Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users" [ PDF ], In ACM Trans. Online Information Systems, presented by Liu Ruofan, Liu Yong, Shreyas Kuthanoor Prakash (Slides 33-56)
