People often find useful content on the web via social media. However, it is difficult to manually aggregate the information and recommendations embedded in a torrent of social ...
The interfaces used by the top Web search engines have changed very little since the early days of Web search. These interfaces follow the traditional model of information retriev...
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang