---
# System prepended metadata

title: '[Predicting the Popularity of Online Content with Knowledge-enhanced Neural Networks](https://www.kdd.org/kdd2018/files/deep-learning-day/DLDay18_paper_8.pdf)'
tags: [references]

---

# [Predicting the Popularity of Online Content with Knowledge-enhanced Neural Networks](https://www.kdd.org/kdd2018/files/deep-learning-day/DLDay18_paper_8.pdf)

*KDD’18 Deep Learning Day, August 2018, London, UK*

###### tags: `references`

![](https://i.imgur.com/54hbbMT.png)


1. Datasets:


| Dataset | number of items | time span |object  |
| -------- | -------- | -------- |-------- |
| Last.fm music |23120 |2006~2014  | monthly listening counts     |
| MOVIELENS movies | 9260    |1995~2015     | yearly reivewing counts     |
| Amazon books     | 2228     | 1997~2014     | yearly reviewing counts     |

2. Evaluation
![](https://i.imgur.com/v2xDghN.png)

3. Best performance yeilds at:
    a. number of neighbors=3
    b. hidden layer size=128




