143 citations
8 papers
Generative Graph Convolutional Network for Growing Graphs
Da Xu, Chuanwei Ruan, Kamiya Motwani +3
Modeling generative process of growing graphs has wide applications in social networks and recommendation systems, where cold start problem leads to new nodes isolated from existin…
Signed Link Prediction with Sparse Data: The Role of Personality Information
Ghazaleh Beigi, Suhas Ranganath, Huan Liu
Predicting signed links in social networks often faces the problem of signed link data sparsity, i.e., only a small percentage of signed links are given. The problem is exacerbated…
On Application of Learning to Rank for E-Commerce Search
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
E-Commerce (E-Com) search is an emerging important new application of information retrieval. Learning to Rank (LETOR) is a general effective strategy for optimizing search engines,…
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing
Feng Mao, Edgar Blanco, Mingang Fu +7
Bin Packing problems have been widely studied because of their broad applications in different domains. Known as a set of NP-hard problems, they have different vari- ations and man…
Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce
Tom Zahavy, Alessandro Magnani, Abhinandan Krishnan +1
Classifying products into categories precisely and efficiently is a major challenge in modern e-commerce. The high traffic of new products uploaded daily and the dynamic nature of…
Numerical Facet Range Partition: Evaluation Metric and Methods
Xueqing Liu, Chengxiang Zhai, Wei Han +1
Faceted navigation is a very useful component in today's search engines. It is especially useful when user has an exploratory information need or prefer certain attribute values th…