Contextual Bandits for Multi-objective Recommender Systems

BRACIS, pp. 68-73, 2015.

Cited by: 2|Views9


The contextual bandit framework have become a popular solution for online interactive recommender systems. Traditionally, the literature in interactive recommender systems has been focused on recommendation accuracy. However, it has been increasingly recognized that accuracy is not enough as the only quality criteria. Thus, other concepts...More



Get fulltext within 24h
Upload PDF

1.Your uploaded documents will be check within 24h, and coins will be credited to your account.

2.As the current system does not support cash withdrawal, you can add staff WeChat (AMxiaomai) to receive it as a red packet.

3.10 coins will be exchanged for 1 yuan.


Upload a single paper

for 5 coins

Wechat's Red Packet

Upload 50 articles

for 250 coins

Wechat's Red Packet

Upload 200 articles

for 1000 coins

Wechat's Red Packet

Upload 500 articles

for 2500 coins

Wechat's Red Packet

Upload 1000 articles

for 5000 coins

Wechat's Red Packet
Your rating :