Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleOctober 2024
Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction
RecSys '24: Proceedings of the 18th ACM Conference on Recommender SystemsPages 350–359https://doi.org/10.1145/3640457.3688151Conversion rate (CVR) prediction is essential in recommender systems, facilitating precise matching between recommended items and users’ preferences. However, the sample selection bias (SSB) and data sparsity (DS) issues pose challenges to accurate ...
- research-articleAugust 2024
Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest
- Xiaoyu Wang,
- Yonghui Guo,
- Hui Sheng,
- Peili Lv,
- Chi Zhou,
- Wei Huang,
- Shiqin Ta,
- Dongbo Huang,
- Xiujin Yang,
- Lan Xu,
- Hao Zhou,
- Yusheng Ji
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 5926–5937https://doi.org/10.1145/3637528.3671528Real-time Bidding (RTB) advertisers wish to know in advance the expected cost and yield of ad campaigns to avoid trial-and-error expenses. However, Campaign Performance Forecasting (CPF), a sequence modeling task involving tens of thousands of ad ...
- research-articleMarch 2024
Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding
WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data MiningPages 750–759https://doi.org/10.1145/3616855.3635756The diverse advertiser demands (brand effects or immediate outcomes) lead to distinct selling (pre-agreed volumes with an under-delivery penalty or compete per auction) and pricing (fixed prices or varying bids) patterns in Guaranteed delivery (GD) and ...
- research-articleOctober 2023
CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 2544–2553https://doi.org/10.1145/3583780.3614810User impression forecasting underpins various commercial activities, from long-term strategic decisions to short-term automated operations. As a representative that involves both kinds, the highly profitable Guaranteed Delivery (GD) advertising focuses ...
- research-articleAugust 2022
CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation
- XiaoYu Wang,
- Bin Tan,
- Yonghui Guo,
- Tao Yang,
- Dongbo Huang,
- Lan Xu,
- Nikolaos M. Freris,
- Hao Zhou,
- Xiang-Yang Li
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 4070–4078https://doi.org/10.1145/3534678.3539044Guaranteed delivery (GD) and real-time bidding (RTB) constitute two parallel profit streams for the publisher. The diverse advertiser demands (brand or instant effect) result in different selling (in bulk or via auction) and pricing (fixed unit price or ...
- research-articleJanuary 2022
Improved Interactive Genetic Algorithm for Three-Dimensional Vase Modeling Design
Interactive genetic algorithm (IGA) is an effective way to help users with product design optimization. However, in this process, users need to evaluate the fitness of all individuals in each generation. It will cause users’ fatigue when users cannot find ...
- research-articleJanuary 2019
Interaction-aware factorization machines for recommender systems
AAAI'19/IAAI'19/EAAI'19: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial IntelligenceArticle No.: 467, Pages 3804–3811https://doi.org/10.1609/aaai.v33i01.33013804Factorization Machine (FM) is a widely used supervised learning approach by effectively modeling of feature interactions. Despite the successful application of FM and its many deep learning variants, treating every feature interaction fairly may degrade ...
- research-articleJanuary 2018
A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing
Compressed sensing (CS) is an important research area of signal sampling and compression, and the essence of signal recovery in CS is an optimization problem of solving the underdetermined system of equations. Greedy pursuit algorithms are widely ...
- short-paperOctober 2010
Trading bandwidth for playback lag: can active peers help?
MM '10: Proceedings of the 18th ACM international conference on MultimediaPages 791–794https://doi.org/10.1145/1873951.1874079P2P live streaming systems suffer a lot from long playback lag in lag-sensitive scenarios. In this paper, we propose a new approach to reducing the playback lag in P2P live streaming systems. According to measurement studies, there exist a certain ...
