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Found 7 papers, 0 papers with code
Report on the SIGIR 2019 Workshop on eCommerce (ECOM19)
The SIGIR 2019 Workshop on eCommerce (ECOM19), was a full day workshop that took place on Thursday, July 25, 2019 in Paris, France.
Learning Image Information for eCommerce Queries
In eBay search, document is an item and the query-item similarity can be computed by comparing different facets of the query-item pair.
Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search
We apply this method to eBay search data to estimate click propensities for web and mobile search and compare these with estimates using the EM method.
Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach
Our main contribution is proposing a novel method that can detect outliers in large datasets and is robust to changing patterns.
Outlier Detection by Consistent Data Selection Method
In this work we are proposing an approach that detects outliers in large data sets by relying on data points that are consistent.
Spelling Correction as a Foreign Language
In this paper, we reformulated the spell correction problem as a machine translation task under the encoder-decoder framework.
Parallel Feature Selection Inspired by Group Testing
Superior performance of our method is demonstrated on a challenging relation extraction task from a very large data set that have both redundant features and sample size in the order of millions.
