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Found 7 papers, 0 papers with code
Multimodal and Contrastive Learning for Click Fraud Detection
In this paper, we propose a Multimodal and Contrastive learning network for Click Fraud detection (MCCF).
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection
However, universal language models may perform weakly in these fake news detection for lack of large-scale annotated data and sufficient semantic understanding of domain-specific knowledge.
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach
Knowledge graph embedding, which aims to learn the low-dimensional representations of entities and relationships, has attracted considerable research efforts recently.
Optimal Delivery with Budget Constraint in E-Commerce Advertising
Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals.
Important Attribute Identification in Knowledge Graph
The knowledge graph(KG) composed of entities with their descriptions and attributes, and relationship between entities, is finding more and more application scenarios in various natural language processing tasks.
Learning Theory and Algorithms for Revenue Management in Sponsored Search
Online advertisement is the main source of revenue for Internet business.
Dual Based DSP Bidding Strategy and its Application
In recent years, RTB(Real Time Bidding) becomes a popular online advertisement trading method.
