{"total":22,"rows":[{"id":"2104.13030","title":"A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation","created":"2021-04-27","cited_by_count":59,"area":null},{"id":"2402.15638","title":"Fair Resource Allocation in Multi-Task Learning","created":"2024-02-23","cited_by_count":35,"area":null},{"id":"2106.02705","title":"Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning","created":"2021-06-04","cited_by_count":34,"area":null},{"id":"2203.06801","title":"MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks","created":"2022-03-14","cited_by_count":34,"area":null},{"id":"2304.04250","title":"Editable User Profiles for Controllable Text Recommendation","created":"2023-04-09","cited_by_count":16,"area":null},{"id":"2205.04711","title":"SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures","created":"2022-05-10","cited_by_count":13,"area":null},{"id":"2102.00252","title":"Synthetic Dataset Generation of Driver Telematics","created":"2021-01-30","cited_by_count":8,"area":null},{"id":"2103.08971","title":"TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation","created":"2021-03-16","cited_by_count":4,"area":null},{"id":"2103.15330","title":"Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications","created":"2021-03-29","cited_by_count":3,"area":null},{"id":"2201.05363","title":"Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding","created":"2022-01-14","cited_by_count":3,"area":null},{"id":"2201.08786","title":"FedComm: Federated Learning as a Medium for Covert Communication","created":"2022-01-21","cited_by_count":3,"area":null},{"id":"2202.06091","title":"TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding","created":"2022-02-12","cited_by_count":3,"area":null},{"id":"2307.09193","title":"ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint","created":"2023-07-18","cited_by_count":3,"area":null},{"id":"2508.18442","title":"DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2104.08716","title":"Deep Latent Emotion Network for Multi-Task Learning","created":"2021-04-18","cited_by_count":1,"area":null},{"id":"2110.13365","title":"Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations","created":"2021-10-26","cited_by_count":1,"area":null},{"id":"2209.03660","title":"Tag-Aware Document Representation for Research Paper Recommendation","created":"2022-09-08","cited_by_count":1,"area":null},{"id":"2107.03226","title":"Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations","created":"2021-07-07","cited_by_count":0,"area":null},{"id":"2108.11714","title":"Photos Are All You Need for Reciprocal Recommendation in Online Dating","created":"2021-08-26","cited_by_count":0,"area":null},{"id":"2204.09930","title":"Multi-task recommendation system for scientific papers with high-way networks","created":"2022-04-21","cited_by_count":0,"area":null},{"id":"2303.00431","title":"OliVaR: Improving Olive Variety Recognition using Deep Neural Networks","created":"2023-03-01","cited_by_count":0,"area":null},{"id":"2510.12054","title":"MIARec: Mutual-influence-aware Heterogeneous Network Embedding for Scientific Paper Recommendation","created":"2025-10-14","cited_by_count":0,"area":null}],"next_cursor":null}