Assessing the external environment is an important component of organizations' survival and success. Unfortunately, a huge amount of information must be collected and processed in order to obtain a thorough and comprehensive representation of the environment. A decision support system can be very useful in helping decision makers to organize and analyze this information efficiently and effectiv...

With today’s nearly ubiquitous access to information of all types, it is difficult to discern what is important from what is not. Mobile and fixed location users alike are faced with a tradeoff: either check many information sources frequently or miss important information that may impact the user. In this work, we define a new approach to information management, one that uses the context of th...

Microblogging sites like Twitter have emerged as a popular platform for exchanging real-time information on the Web. Twitter is used by hundreds of millions of users ranging from popular news organizations and celebrities to domain experts in fields like computer science and astrophysics and spammers. As a result, the quality of information posted in Twitter is highly variable and finding the u...

We propose a new way of characterizing the complexity of online problems. Instead of measuring the degradation of the output quality caused by the ignorance of the future we choose to quantify the amount of additional global information needed for an online algorithm to solve the problem optimally. In our model, the algorithm cooperates with an oracle that can see the whole input. We define the...

In many applications, it is desirable to extract only the relevant aspects of data. A principled way to do this is the information bottleneck (IB) method, where one seeks a code that maximizes information about a ‘relevance’ variable, Y , while constraining the information encoded about the original data, X . Unfortunately however, the IB method is computationally demanding when data are high-d...

Assessing the external environment is an important component of organizations' survival and success. Unfortunately, a huge amount of information must be collected and processed in order to obtain a thorough and comprehensive representation of the environment. A decision support system can be very useful in helping decision makers to organize and analyze this information efficiently and effectiv...

Lighthouse is an on-line interface for a Web-based information retrieval system. It accepts queries from a user, collects the retrieved documents from the search engine, organizes and presents them to the user. The system integrates two known presentations of the retrieved results – the ranked list and clustering visualization – in a novel and effective way. It accepts the user’s input and adju...

The problem of extracting the relevant aspects of data, in face of multiple conflicting structures, is inherent to modeling of complex data. Extracting structure in one random variable that is relevant for another variable has been principally addressed recently via the information bottleneck method [15]. However, such auxiliary variables often contain more information than is actually required...

In this paper we present a system that attempts to learn the surfing user’s interests without asking him for any feedback. The system uses the user profile to conducts an independent search of the Internet, trying to find pages that the user have not read yet and might find interesting. The system consists of 3 modules: (1) The data-collecting module, which collects the data to be processed int...