1 code implementation • 25 Sep 2018 • Kang Wang-Cheng, McAuley Julian
User-Generated Content (UGC) is at the core of web applications where users can both produce and consume content.
no code implementations • 16 Jun 2017 • Cai Chenwei, He Ruining, McAuley Julian
Dealing with sparse, long-tailed datasets, and cold-start problems is always a challenge for recommender systems.
no code implementations • 19 Apr 2017 • Shenoy Sanjeev, Kuo Tsung-Ting, Gabriel Rodney, McAuley Julian, Hsu Chun-Nan
In clinical notes data, duplication (and near duplication) can arise for many reasons, such as the pervasive use of templates, copy-pasting, or notes being generated by automated procedures.
no code implementations • 31 Mar 2016 • He Ruining, Lin Chunbin, McAuley Julian
To build a fashion recommendation system, we need to help users retrieve fashionable items that are visually similar to a particular query, for reasons ranging from searching alternatives (i. e., substitutes), to generating stylish outfits that are visually consistent, among other applications.
2 code implementations • 29 Jun 2015 • McAuley Julian, Pandey Rahul, Leskovec Jure
These two types of recommendations are referred to as substitutes and complements: substitutes are products that can be purchased instead of each other, while complements are products that can be purchased in addition to each other.