Abstract: A system and method for generating feature vectors of documents in different languages are provided. The feature vectors provide scores associated with keywords defined in a base language for use by a profiler for generating or updating a user profile. The system and method use a plurality of keyword sets comprising: a base language keyword set comprising a plurality of base language keywords each associated with a respective identifier (ID); and a second language keyword set comprising a plurality of second language keywords each corresponding in meaning to a respective one of the base language keywords and associated with the ID of the corresponding base language keyword. One of a plurality of tokenizers is selected to parse a document based on the language of the document and to generate the feature vector using the keyword set of the corresponding language.

Abstract: A method and apparatus are provided for identifying and tracking multiple computer user sessions associated with a network address translation (NAT) device coupled to a computer network. Data packets originating from the NAT device containing a request to a destination server coupled to the computer network are received. A client source address associated with the data packets is determined where the source address associated with the NAT device. One or more session entries associated with the client source address can then be determined, wherein the session entries are stored in system state information. A session signature can then be determined based one or more characteristics defined by the data packet header information and/or request header information in the one or more data packets, the session signature uniquely identifying one of the multiple computer user sessions coupled to the NAT device.

Abstract: A method and apparatus for character differentiation based on pattern recognition is provided. A sequence of events is received that have been generated from a given session or connection and determines if the sequence of events is likely to have come from an existing, known character, or if the events are from a previously unknown character. A character identifier (ID) is tagged onto (i.e. associated with) the event for further processing in another system that can, for example, provide different content based on the identified character and an associated preference profile.

Abstract: A system and method for generating feature vectors of documents in different languages are provided. The feature vectors provide scores associated with keywords defined in a base language for use by a profiler for generating or updating a user profile. The system and method use a plurality of keyword sets comprising: a base language keyword set comprising a plurality of base language keywords each associated with a respective identifier (ID); and a second language keyword set comprising a plurality of second language keywords each corresponding in meaning to a respective one of the base language keywords and associated with the ID of the corresponding base language keyword. One of a plurality of tokenizers is selected to parse a document based on the language of the document and to generate the feature vector using the keyword set of the corresponding language.

Abstract: A system, a method and a computer readable medium for anonymizing collected data associated with one or more data owners is provided. An identifier is received and a hash process is performed using the identifier and a cryptographic salt to produce a hash output. The hash output is associated with an anonymous identifier. The anonymous identifier is then associated with the data. The anonymized data may then be provided to one or more third party processors for processing an analysis.

Abstract: A method and apparatus for character differentiation based on pattern recognition is provided. A sequence of events is received that have been generated from a given session or connection and determines if the sequence of events is likely to have come from an existing, known character, or if the events are from a previously unknown character. A character identifier (ID) is tagged onto (i.e. associated with) the event for further processing in another system that can, for example, provide different content based on the identified character and an associated preference profile.

Abstract: A method and apparatus are provided for identifying and tracking multiple computer user sessions associated with a network address translation (NAT) device coupled to a computer network. Data packets originating from the NAT device containing a request to a destination server coupled to the computer network are received. A client source address associated with the data packets is determined where the source address associated with the NAT device. One or more session entries associated with the client source address can then be determined, wherein the session entries are stored in system state information. A session signature can then be determined based one or more characteristics defined by the data packet header information and/or request header information in the one or more data packets, the session signature uniquely identifying one of the multiple computer user sessions coupled to the NAT device.

Abstract: The invention provides an improved management of network devices in a communication network by extending the Simple Network Management Protocol (SNMP), which provides an effective identifying of the Management Client originating a request and sends rich textual status and error responses from the network device.

Abstract: A method for generating statistical information for performance management reporting is provided. Raw statistical information provided by managed data network equipment is described in a body of vendor data network equipment specific metadata—the collection of which is referred to as vendor statistics metadata. The statistical information needed for performance reporting is described in a body of performance reporting metadata. The method has a sequence of steps. In an initial syntactic translation step, the vendor statistics metadata is used to transform raw statistical information provided by managed data network equipment into a common format removing vendor dependencies while maintaining vendor semantics. In a second semantic extraction step, the statistical information for performance reporting is extracted in accordance to specifications described in a body of statistics semantic mapping metadata from a body of common format statistic information in accordance with prespecified preferences.