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08/31/2023
Co-evolving Vector Quantization for ID-based Recommendation
Category information plays a crucial role in enhancing the quality and p...
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08/27/2023
Only Encode Once: Making Content-based News Recommender Greener
Large pretrained language models (PLM) have become de facto news encoder...
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08/21/2023
A Large-scale Benchmark for Log Parsing
Log data is pivotal in activities like anomaly detection and failure dia...
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08/19/2023
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction, crucial in applications like recomm...
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07/19/2023
DisCover: Disentangled Music Representation Learning for Cover Song Identification
In the field of music information retrieval (MIR), cover song identifica...
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07/14/2023
Exploiting Counter-Examples for Active Learning with Partial labels
This paper studies a new problem, active learning with partial labels (A...
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06/15/2023
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop
Industrial recommender systems face the challenge of operating in non-st...
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04/03/2023
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
Click-through rate (CTR) prediction is one of the fundamental tasks for ...
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04/02/2023
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation
User-curated item lists, such as video-based playlists on Youtube and bo...
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08/17/2022
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation
Micro-video recommender systems suffer from the ubiquitous noises in use...
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03/23/2022
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
The goal of recommender systems is to provide ordered item lists to user...
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11/16/2021
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback
Pseudo relevance feedback (PRF) automatically performs query expansion b...
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10/28/2021
Cross-Batch Negative Sampling for Training Two-Tower Recommenders
The two-tower architecture has been widely applied for learning item and...
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10/28/2021
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
With the recent success of graph convolutional networks (GCNs), they hav...
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09/26/2021
Why Do We Click: Visual Impression-aware News Recommendation
There is a soaring interest in the news recommendation research scenario...
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09/26/2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Collaborative filtering (CF) is a widely studied research topic in recom...
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04/01/2021
Modeling High-order Interactions across Multi-interests for Micro-video Recommendation
Personalized recommendation system has become pervasive in various video...
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11/08/2020
Ensembled CTR Prediction via Knowledge Distillation
Recently, deep learning-based models have been widely studied for click-...
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09/12/2020
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction
In many applications, such as recommender systems, online advertising, a...
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08/26/2020
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Tagging has been recognized as a successful practice to boost relevance ...
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08/19/2020
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
Video moment retrieval aims to localize the target moment in an video ac...
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08/14/2020
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics
Logs have been widely adopted in software system development and mainten...
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09/24/2019
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
System logs record detailed runtime information of software systems and ...
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11/08/2018
Tools and Benchmarks for Automated Log Parsing
Logs are imperative in the development and maintenance process of many s...
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06/12/2018
