Shakti Sinha and Daniel Tunkelang

In the 36th Annual International ACM Conference on Research & Development on Information Retrieval (SIGIR 2013)


 

Abstract

LinkedIn has a unique data collection: the 200M+ members who use LinkedIn are also the most valuable entities in our corpus, which consists of people, companies, jobs, and a rich content ecosystem. Our members use LinkedIn to satisfy a diverse set of navigational and exploratory information needs, which we address by leveraging semi-structured and social content to understanding their query intent and deliver a personalized search experience. In this talk, we will discuss some of the unique challenges we face in building the LinkedIn search platform, the solutions we’ve developed so far, and the open problems we see ahead of us.

BiBTeX

@article{sinha2013, title={Find and be Found: Information Retrieval at LinkedIn}, author={Sinha, S. and Tunkelang, D.}, booktitle={SIGIR 13 The 36th International ACM SIGIR conference on research and development in Information Retrieval}, year={2013} }