New Research Paper: "Information Seeking: Convergence of Search, Recommendations and Advertising"

Access a full text paper from the Stanford Info Lab that has been accepted for publication in the Communications of the ACM

Title: Information Seeking: Convergence of Search, Recommendations and Advertising (2011)

Authors: Hector Garcia-Molina, Georgia Koutrika, and Aditya Parameswara

From the Introduction:

All of us are faced with a deluge of data”, in our workplaces and our homes: an ever-growing World Wide Web, digital books and magazines, photographs, blogs, tweets, emails, databases, activity logs, sensor streams, on-line videos, movies and music, and so on. Thus, one of the fundamental problems in Computer Science has become even more critical today: how to identify objects satisfying a user’s information need. The goal is to present to the user only information that is of interest and relevance, at the right place and time.

Direct to Full Text (9 pages; PDF)

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