Abstract: A system and method for peer to peer interest sharing. The system includes a plurality of clients and a peer to peer collaboration application. Each client is in communication over the internet with at least one other of the plurality of clients. The peer to peer collaboration application is coupled to at least one of the clients and configured to share content objects of a shared interest of a user among selected peers. The peer to peer collaboration application is further configured to apply a positive and a negative content rating from one client to classifiers of each of the plurality of clients.

Abstract: A system and method for classifying content objects. The system includes a database and a classification application. The database is configured to store a plurality of content objects. The classification application is coupled to the database and configured to cluster content objects and implement at least one level of classification, including generating summary vectors formed of weighted sums of object vectors. The object vector includes a vector of numbers representative of a frequency of a superset of features potentially found in the content object.

Abstract: A system and method for discovering content. The system includes a feature extraction application, an indexed server, and a classification application. The feature extraction application is configured to use training examples specific to a first domain type to process content objects and to generate an object vector. The feature extraction application is also configured to apply the feature extraction to a second domain type and to generate another object vector. The indexed server is coupled to the feature extraction application and configured to maintain feature-extracted content objects and to communicate the content objects with a client. The classification application is coupled to the indexed server and configured to cluster content objects and implement at least one level of classification. The classification application is also configured to generate summary vectors formed of weighted sums of object vectors.

Abstract: A system and method for searching content objects. The system includes a client, a cache, and a content searching application. The client is capable of accessing content objects over the internet. The cache is coupled to the client and configured to store at least a partial copy of object vectors representative of content in the content objects. The content searching application is coupled to the cache and configured to compare the object vectors to a user interest profile to find content similar to the user interest profile.

Abstract: A system and method for indexing content. The system includes a crawler, a crawl database, an indexer, a classification application, and an indexed data server. The crawler is configured to crawl the internet for content objects. The crawl database is coupled to the crawler and configured to cache the content objects. The indexer is coupled to the crawl database and configured to perform feature extraction on the content objects and cluster the content objects by generating an object vector. The classification application is coupled to the indexer and configured to cluster the object vectors and generate a summary vector. The indexed data server is coupled to the indexer and configured to communicate the content objects with a client.

Abstract: A system and method for advertisement selection. The system includes a client and an advertisement selection application. The client is capable of accessing content objects over the internet. The advertisement selection application is coupled to the client and configured to maintain at least a partial copy of advertisements. The advertisement selection application is also configured to classify the advertisements and to generate an object vector for each advertisement. The advertisement selection application is also configured to update a user interest profile in response to positive and negative feedback, and to display advertisements according to the user interest profile.

Abstract: A system and method for feature extraction of a content object. The system includes a database and a feature extraction application. The database is configured to database to store a plurality of content objects. The feature extraction application is coupled to the database and configured to process each content object, extract a core set of features, and generate an object vector. The object vector includes a vector of numbers representative of a frequency of a superset of features potentially found in the content object.

Abstract: Methods and apparatus for dynamic bandwidth provisioning in wavelength division multiplexing (WDM) optical ring networks. A plurality of nodes within the network are configured to transmit optical signals at variable wavelengths and receive optical signals at a predetermined wavelength. A network management system computer may be provided to communicate with the network nodes to direct the wavelengths at which each node transmits and receives. A series of one or more lightpath rings within the network are defined by selecting a first plurality of network nodes to provide a channel to support the optical transmission of a communication signal therebetween having a first bandwidth allocation.

Abstract: Methods and apparatuses of open ring optical networks are disclosed, as well as optical nodes, for example open intercepts and closed intercepts, supporting open ring optical networks. Open ring optical networks can prevent optical wavelengths from traversing an optical node in an optically transparent network. Optical feedback can be prevented in open ring optical networks, for example optical networks containing optical amplifiers. Coherent crosstalk can be prevented in open ring optical networks. Some open ring networks further allow standard communication protection techniques that are typically associated with rings which are topologically closed. These network architectures can enable low cost-of-maintenance bandwidth upgrades to the entire network.