6 papers
Multimodal and Contrastive Learning for Click Fraud Detection
Weibin Li, Qiwei Zhong, Qingyang Zhao +2
Advertising click fraud detection plays one of the vital roles in current E-commerce websites as advertising is an essential component of its business model. It aims at, given a se…
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach
Yonghui Xu, Shengjie Sun, Yuan Miao +6
Knowledge graph embedding, which aims to learn the low-dimensional representations of entities and relationships, has attracted considerable research efforts recently. However, mos…
Optimal Delivery with Budget Constraint in E-Commerce Advertising
Chao Wei, Weiru Zhang, Shengjie Sun +4
Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals. Ad serving systems (like display and search a…
Important Attribute Identification in Knowledge Graph
Shengjie Sun, Dong Yang, Hongchun Zhang +4
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 na…
Learning Theory and Algorithms for Revenue Management in Sponsored Search
Lulu Wang, Huahui Liu, Guanhao Chen +3
Online advertisement is the main source of revenue for Internet business. Advertisers are typically ranked according to a score that takes into account their bids and potential cli…
Dual Based DSP Bidding Strategy and its Application
Huahui Liu, Mingrui Zhu, Xiaonan Meng +2
In recent years, RTB(Real Time Bidding) becomes a popular online advertisement trading method. During the auction, each DSP(Demand Side Platform) is supposed to evaluate current op…