Introduction to recommender systems

By J. Konstan. SIGMOD Conference, 2008

330 citations recorded by the source corpus.

Subfields: Information Systems

View Paper: https://www.semanticscholar.org/paper/2d7e6b988ed60f8b20a34aa690a9124069ad1039

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Sihem Amer-Yahia
2. Gautam Das
3. Senjuti Basu Roy
4. Laks V. S. Lakshmanan
5. Ashish Chawla
6. Cong Yu
7. Xu Chen
8. Yongfeng Zhang

Citations in the corpus

• Recommendation Diversification Using Explanations (2009, background): “There has been a push toward going beyond improving recommendation relevance [7], [6].”
• Group Recommendation: Semantics and Efficiency (2009, background): “Regardless how the group is formed, recommending to the group presents two major challenges in comparison to individual user recommendations [9, 11].”
• A Survey on Bayesian Deep Learning (2016, neutral): “Take recommender systems [1, 70, 71, 92, 121] as another example.”