1. LinkedIn Connection Recommendation System
by: Austyn Herman

2. Outline
Introduction
Related Works
Current Project
Conclusion

3. Introduction To recommendation systems
Collaborative
Content Based Recommendations
Hybrid
Goal
To provide meaningful content recommendations

4. Introduction To Recommendation systems
Meaningful Content Recommendation Criteria
Type of content being recommended
Properties of the network
Preferences of the user

5. Related Works
“Recommender System for Location-based Social Networks” by Yiving Cheng, Yangru Fang, and Yongqing Yuan
Recommendation Criteria
Proximity
User Cosine Similarity
Friend Check In
Results

6. Related Works
“Who Should I Interact With” by Quan Trong, Xiao Chen, and David Frank
Recommendation Criteria
Page Rank
Cosine Similarity
Results
“Rich get richer”

7. Related Works
“Personalized Recommendation System for Question to Answer on SuperUser” by Geza Kovac, Arpad Kovac, and Shahriyar Pruiskin
Recommendation Criteria
Content-based filtering
Slow start compensation
Results
Low diversification of questions

8. Current project Background Methodology
Issues, Solutions, and Future Improvements
Current project

9. LinkedIn
Friend Recommender System
Hybrid Filtering
Background

10. Methodology: Data Collection
Data collection methods
LinkedIn API
Issues
Disconnected Graph
Solutions
Small World Graph
Refine API call methods

11. Methodology: Generating a Recommendation
Generating recommendation data
Using previous and newly established connections
Analysis on recommendation data
Cosine Similarity

12. Issues, Solutions, and Future Improvements
Reducing Computation
Reducing Referral Selection Pool
Slow Start Phase
Use of Cosine Similarity Threshold
No Reduction on the Selection Pool

13. Conclusion
Recommendation Systems
Related Works
Current Project

14. Questions?