579 citations
- eBay (Ireland)IE3 papers
- Google (United States)US3 papers
- Centrum Wiskunde & InformaticaNL2 papers
- Georgia Institute of TechnologyUS2 papers
- Nanyang Technological UniversitySG2 papers
- National University of SingaporeSG2 papers
- Pennsylvania State UniversityUS2 papers
- University of Science and Technology of ChinaCN2 papers
- Amazon (United States)US1 paper
- Athens University of Economics and BusinessGR1 paper
- Atlanta Technical CollegeUS1 paper
- Brown UniversityUS1 paper
7 papers · 1 filter
Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search
Grigor Aslanyan, Utkarsh Porwal
The Unbiased Learning-to-Rank framework has been recently proposed as a general approach to systematically remove biases, such as position bias, from learning-to-rank models. The m…
Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu +3
Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity be…
Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach
Utkarsh Porwal, Smruthi Mukund
Often the challenge associated with tasks like fraud and spam detection is the lack of all likely patterns needed to train suitable supervised learning models. This problem accentu…
Learning Better Internal Structure of Words for Sequence Labeling
Yingwei Xin, Ethan Hart, Vibhuti Mahajan +1
Character-based neural models have recently proven very useful for many NLP tasks. However, there is a gap of sophistication between methods for learning representations of sentenc…
Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks
Chandra Khatri, Gyanit Singh, Nish Parikh
Sequence to sequence (Seq2Seq) learning has recently been used for abstractive and extractive summarization. In current study, Seq2Seq models have been used for eBay product descri…
Adversarial Learning for Fine-grained Image Search
Kevin Lin, Fan Yang, Qiaosong Wang +1
Fine-grained image search is still a challenging problem due to the difficulty in capturing subtle differences regardless of pose variations of objects from fine-grained categories…