LINK RECOMMENDATION AND DENSIFICATION

摘要

Links to web content can be identified as a function of one or more links shared by a user of an online social network service, among other things. The identified links can represent recommended links likely to be interesting to the user. Densification techniques can be employed to address data sparsity and thus enhance link recommendation. Furthermore, recommended links can be integrated with a search engine to personalize interaction with web content.