Awesome Papers

Papers

Billion-scale Similarity Search With Gpus (2017)
Jeff Johnson, Matthijs Douze, Hervé Jégou
24.96
Neural Collaborative Filtering Vs. Matrix Factorization Revisited (2020)
Steffen Rendle, Walid Krichene, Li Zhang, et al.
19.18
The Faiss Library (2024)
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, et al.
18.51
Evaluation Of Session-based Recommendation Algorithms (2018)
Malte Ludewig, Dietmar Jannach
18.27
Paecter: Patent-level Representation Learning Using Citation-informed Transformers (2024)
Mainak Ghosh, Michael E. Rose, Sebastian Erhardt, et al.
18.25
Embedding-based Retrieval In Facebook Search (2020)
Jui-Ting Huang, Ashish Sharma, Shuying Sun, et al.
18.09
Learning Tree-based Deep Model For Recommender Systems (2018)
Han Zhu, Xiang Li, Pengye Zhang, et al.
17.61
Colbertv2: Effective And Efficient Retrieval Via Lightweight Late Interaction (2021)
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.
17.46
VERSE: Versatile Graph Embeddings From Similarity Measures (2018)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, et al.
17.42
Practical Federated Gradient Boosting Decision Trees (2019)
Qinbin Li, Zeyi Wen, Bingsheng He
16.23
Vector Database Management Systems: Fundamental Concepts, Use-cases, And Current Challenges (2023)
Toni Taipalus
14.23
Learning To Hash With Graph Neural Networks For Recommender Systems (2020)
Qiaoyu Tan, Ninghao Liu, Xing Zhao, et al.
14.02
Deep Graph Similarity Learning: A Survey (2019)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, et al.
13.97
Collaborative Similarity Embedding For Recommender Systems (2019)
Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, et al.
13.93
Embedding-based Product Retrieval In Taobao Search (2021)
Sen Li, Fuyu Lv, Taiwei Jin, et al.
13.70
Learning-based Efficient Graph Similarity Computation Via Multi-scale Convolutional Set Matching (2018)
Yunsheng Bai, Hao Ding, Yizhou Sun, et al.
13.60
Revisiting The Inverted Indices For Billion-scale Approximate Nearest Neighbors (2018)
Dmitry Baranchuk, Artem Babenko, Yury Malkov
13.60
GGNN: Graph-based GPU Nearest Neighbor Search (2019)
Fabian Groh, Lukas Ruppert, Patrick Wieschollek, et al.
13.39
CITADEL: Conditional Token Interaction Via Dynamic Lexical Routing For Efficient And Effective Multi-vector Retrieval (2022)
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, et al.
13.05
Sampling Is All You Need On Modeling Long-term User Behaviors For CTR Prediction (2022)
Yue Cao, Xiaojiang Zhou, Jiaqi Feng, et al.
12.93
Neural Vector Spaces For Unsupervised Information Retrieval (2017)
Christophe van Gysel, Maarten de Rijke, Evangelos Kanoulas
12.93
Lightfr: Lightweight Federated Recommendation With Privacy-preserving Matrix Factorization (2022)
Honglei Zhang, Fangyuan Luo, Jun Wu, et al.
12.87
Jointly Optimizing Query Encoder And Product Quantization To Improve Retrieval Performance (2021)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, et al.
12.74
Autoemb: Automated Embedding Dimensionality Search In Streaming Recommendations (2020)
Xiangyu Zhao, Chong Wang, Ming Chen, et al.
12.61
Rabitq: Quantizing High-dimensional Vectors With A Theoretical Error Bound For Approximate Nearest Neighbor Search (2024)
Jianyang Gao, Cheng Long
12.54
Explainable Product Search With A Dynamic Relation Embedding Model (2019)
Qingyao Ai, Yongfeng Zhang, Keping Bi, et al.
12.33
Candidate Generation With Binary Codes For Large-scale Top-n Recommendation (2019)
Wang-Cheng Kang, Julian McAuley
12.33
CAGRA: Highly Parallel Graph Construction And Approximate Nearest Neighbor Search For Gpus (2023)
Hiroyuki Ootomo, Akira Naruse, Corey Nolet, et al.
12.17
In-memory Nearest Neighbor Search With Fefet Multi-bit Content-addressable Memories (2020)
Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, et al.
11.85
Neural IR Meets Graph Embedding: A Ranking Model For Product Search (2019)
Yuan Zhang, Dong Wang, Yan Zhang
11.85
Semantic Guided And Response Times Bounded Top-k Similarity Search Over Knowledge Graphs (2019)
Yuxiang Wang, Arijit Khan, Tianxing Wu, et al.
11.76
HS-GCN: Hamming Spatial Graph Convolutional Networks For Recommendation (2023)
Han Liu, Yinwei Wei, Jianhua Yin, et al.
11.67
Polysemous Codes (2016)
Matthijs Douze, Hervé Jégou, Florent Perronnin
11.49
Faster Population Counts Using AVX2 Instructions (2016)
Wojciech Muła, Nathan Kurz, Daniel Lemire
11.49
FREDE: Anytime Graph Embeddings (2020)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, et al.
11.39
Learning Discrete Representations Via Constrained Clustering For Effective And Efficient Dense Retrieval (2021)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, et al.
11.39
The Information Retrieval Experiment Platform (2023)
Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, et al.
11.19
Lossless Compression Of Vector Ids For Approximate Nearest Neighbor Search (2025)
Daniel Severo, Giuseppe Ottaviano, Matthew Muckley, et al.
11.11
Content-aware Neural Hashing For Cold-start Recommendation (2020)
Casper Hansen, Christian Hansen, Jakob Grue Simonsen, et al.
10.97
Grale: Designing Networks For Graph Learning (2020)
Jonathan Halcrow, Alexandru Moşoi, Sam Ruth, et al.
10.85
Learning Graph Edit Distance By Graph Neural Networks (2020)
Pau Riba, Andreas Fischer, Josep Lladós, et al.
10.85
Zero-shot Heterogeneous Transfer Learning From Recommender Systems To Cold-start Search Retrieval (2020)
Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng, et al.
10.85
Mememo: On-device Retrieval Augmentation For Private And Personalized Text Generation (2024)
Zijie J. Wang, Duen Horng Chau
10.78
EXTRA: Explanation Ranking Datasets For Explainable Recommendation (2021)
Lei Li, Yongfeng Zhang, Li Chen
10.74
Joint Embedding Of Meta-path And Meta-graph For Heterogeneous Information Networks (2018)
Lichao Sun, Lifang He, Zhipeng Huang, et al.
10.61
Online Product Quantization (2017)
Donna Xu, Ivor W. Tsang, Ying Zhang
10.61
Quicker ADC : Unlocking The Hidden Potential Of Product Quantization With SIMD (2018)
Fabien André, Anne-Marie Kermarrec, Nicolas Le Scouarnec
10.50
Wl-align: Weisfeiler-lehman Relabeling For Aligning Users Across Networks Via Regularized Representation Learning (2022)
Li Liu, Penggang Chen, Xin Li, et al.
10.35
Item Recommendation From Implicit Feedback (2021)
Steffen Rendle
10.35
Better Generalization With Semantic Ids: A Case Study In Ranking For Recommendations (2023)
Anima Singh, Trung Vu, Nikhil Mehta, et al.
10.35