activity
20182023
most citedExplainable Recommendation via Multi-Task Learning in Opinionated Text Data

211 citations · 527 across the 28 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.HC2022★ 1 cited

Integrating Voice-Based Machine Learning Technology into Complex Home Environments

Ye Gao, Jason Jabbour, Eunjung Ko +8

To demonstrate the value of machine learning based smart health technologies, researchers have to deploy their solutions into complex real-world environments with real participants…

cs.CV2022★ 1 cited

MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation

Ye Gao, Zhendong Chu, Hongning Wang +1

In recent years, machine learning has achieved impressive results across different application areas. However, machine learning algorithms do not necessarily perform well on a new…

cs.CL2022★ 1 cited

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

Nan Wang, Qifan Wang, Yi-Chia Wang +5

As language models become increasingly integrated into our digital lives, Personalized Text Generation (PTG) has emerged as a pivotal component with a wide range of applications. H…

cs.IR2022★ 3 cited

Rethinking Conversational Recommendations: Is Decision Tree All You Need?

A S M Ahsan-Ul Haque, Hongning Wang

Conversational recommender systems (CRS) dynamically obtain the user preferences via multi-turn questions and answers. The existing CRS solutions are widely dominated by deep reinf…

cs.IR2022★ 2 cited

Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search

Anat Hashavit, Hongning Wang, Tamar Stern +1

Advertisements (ads) are an innate part of search engine business models. Advertisers are willing to pay search engines to promote their content to a prominent position in the sear…

cs.IR2022

Graph-based Extractive Explainer for Recommendations

Peng Wang, Renqin Cai, Hongning Wang

Explanations in a recommender system assist users in making informed decisions among a set of recommended items. Great research attention has been devoted to generating natural lan…