Weiwen Liu

PMD: An Optimal Transportation-based User Distance for Recommender Systems

2019 · arXiv (Cornell University)

Collaborative filtering, a widely-used recommendation technique, predicts a user's preference by aggregating the ratings from similar users. As a result, these measures cannot fully utilize the rating information and are not suitable for real world …

Retrieval & Interaction Machine for Tabular Data Prediction

2021 · arXiv (Cornell University)

Prediction over tabular data is an essential task in many data science applications such as recommender systems, online advertising, medical treatment, etc. Tabular data is structured into rows and columns, with each row as a …

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages

2022 · arXiv (Cornell University)

To provide click simulation or relevance estimation based on users' implicit interaction feedback, click models have been much studied during recent years. Most click models focus on user behaviors towards a single list. However, with …

A Bird's-eye View of Reranking: from List Level to Page Level

2022 · arXiv (Cornell University)

Reranking, as the final stage of multi-stage recommender systems, refines the initial lists to maximize the total utility. With the development of multimedia and user interface design, the recommendation page has evolved to a multi-list …

Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation

2023 · arXiv (Cornell University)

With the development of the online education system, personalized education recommendation has played an essential role. In this paper, we focus on developing path recommendation systems that aim to generating and recommending an entire learning …