Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
We propose COP, a client-side system for protecting children’s online privacy and empowering parental control over children’s information disclosure with little manual effort. ...
While Internet users claim to be concerned about online privacy, their behavior rarely reflects those concerns. In this paper we investigate whether the availability of compariso...
Julia Gideon, Lorrie Faith Cranor, Serge Egelman, ...
We propose a query formulation language, called MashQL for querying and mashing up structured data on the web. The novelty of MashQL is that it does not require...