Rongting Zhang

Sep 22, 2024 | arxiv.org | Rongting Zhang |Aaron Thomas Roth

Nov 11, 2023 | mdpi.com | Guangyun Zhang |Rongting Zhang

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticlebyGuangyun Zhang and Rongting Zhang * School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211800, China*Author to whom correspondence should be addressed. Remote Sens.

Aug 31, 2023 | amazon.science | Rongting Zhang |Barbara Poblete |Vanessa Murdock |Siyu Liao

Many public pre-trained word embeddings have been shown to encode different types of biases. Embeddings are often obtained from training on large pre-existing corpora, and therefore resulting biases can be a reflection of unfair representations in the original data. Bias, in this scenario, is a challenging problem since current mitigation techniques require knowing and understanding existing biases in the embedding, which is not always possible.

Aug 24, 2023 | amazon.science | Rongting Zhang |Vanessa Murdock |Chia-Jung Lee

Customer reviews are an effective source of information about what people deem important in products (e.g. “strong zipper” for tents). These crowd-created descriptors not only highlight key product attributes, but can also complement seller-provided product descriptions. Motivated by this, we propose to leverage customer reviews to generate queries pertinent to target products in an e-commerce setting.

Aug 23, 2023 | amazon.science | Jie Yang |Rongting Zhang |Vanessa Murdock

In online shopping quality is a key consideration when purchasing an item. Since customers cannot physically touch or try out an item before buying it, they must assess its quality from information gathered online. In a typical eCommerce setting, the customer is presented with seller-generated content from the product catalog, such as an image of the product, a textual description, and lists or comparisons of attributes.