Longqi Yang

Learning to Represent Human Motives for Goal-directed Web Browsing

2021

Motives or goals are recognized in psychology literature as the most fundamental drive that explains and predicts why people do what they do, including when they browse the web. Although providing enormous value, these higher-ordered …

TnT-LLM: Text Mining at Scale with Large Language Models

2024 · arXiv (Cornell University)

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application. However, most existing methods for producing label taxonomies and building …

Collaborative Metric Learning

2017

Metric learning algorithms produce distance metrics that capture the important relationships among data. In this work, we study the connection between metric learning and collaborative filtering. We propose Collaborative Metric Learning (CML) which learns a …

Unbiased offline recommender evaluation for missing-not-at-random implicit feedback

2018

Implicit-feedback Recommenders (ImplicitRec) leverage positive only user-item interactions, such as clicks, to learn personalized user preferences. Recommenders are often evaluated and compared offline using datasets collected from online platforms. These platforms are subject to popularity …