activity
20192022
most citedUser-Centric Conversational Recommendation with Multi-Aspect User Modeling

62 citations · 74 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR202262 cited

User-Centric Conversational Recommendation with Multi-Aspect User Modeling

Shuokai Li, Ruobing Xie, Yongchun Zhu +3

Conversational recommender systems (CRS) aim to provide highquality recommendations in conversations. However, most conventional CRS models mainly focus on the dialogue understandi…

cs.CL2021

ConRPG: Paraphrase Generation using Contexts as Regularizer

Yuxian Meng, Xiang Ao, Qing He +5

A long-standing issue with paraphrase generation is how to obtain reliable supervision signals. In this paper, we propose an unsupervised paradigm for paraphrase generation based o…

cs.LG202112 cited

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback

Haoming Li, Feiyang Pan, Xiang Ao +6

The delayed feedback problem is one of the imperative challenges in online advertising, which is caused by the highly diversified feedback delay of a conversion varying from a few…

cs.LG2021

GuideBoot: Guided Bootstrap for Deep Contextual Bandits

Feiyang Pan, Haoming Li, Xiang Ao +4

The exploration/exploitation (E&E) dilemma lies at the core of interactive systems such as online advertising, for which contextual bandit algorithms have been proposed. Bayesian a…

cs.LG2019

Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions

Feiyang Pan, Xiang Ao, Pingzhong Tang +4

It is often observed that the probabilistic predictions given by a machine learning model can disagree with averaged actual outcomes on specific subsets of data, which is also know…