For a search engine, the challenge of finding relevant information from the web is becoming more and more difficult with rapid increase/change in content of the web. This difficulty further increases as queries submitted by users are general, imprecise, short and ambiguous. Relevance between user’s information need and documents returned by search engine is largely dependent on the query given ...

The information overloading is one of the biggest problems nowadays. We can see it in various domains, including business, especially in the news. This is more significant in connection to web and news portals, where the quality of the news portal is commonly measured by amount of news added to the site. Then the most renowned news portals add hundreds of new articles daily. The classical solut...

Recommender systems try to help users access complex information spaces. A good example is when they are used to help users to access online product catalogs, where recommender systems have proven to be especially useful for making product suggestions in response to evolving user needs and preferences. Case-based recommendation is a form of content-based recommendation that is well suited to ma...

We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a vector space, then use its nearest neighbors as candidates, and rerank the candidates using a discriminative model trained to distinguish between observed and unobserved citations. Unlike previous work, our method does not require metadata such as author names which ca...

Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions that integrate and coordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-based management i...

We present an extension of the Dynamics Based Control (DBC) paradigm to environment models based on Predictive State Representations (PSRs). We show an approximate greedy version of the DBC for PSR model, EMT-PSR, and demonstrate how this algorithm can be applied to solve several control problems. We then provide some classifications and requirements of PSR environment models that are necessary...