Abstract: This invention relates to methods and systems for searching. It is particularly applicable to methods of searching which enable efficient identification of compatible portfolios. Embodiments of the invention propose methods of searching which address the huge search space issue associated with identifying compatible portfolios. In particular, embodiments of the invention start their search operations simultaneously from both sides by both trying to form valid portfolios from candidate products until a valid solution is found and trying to find conflicts from the defined compatibility rules until a conflict is found which leads to the conclusion that no valid solution exists. A conclusion from either process will stop the whole searching process which can significantly reduce blind and unnecessary searching in the whole search space.

Abstract: This invention relates to methods and systems for searching. It is particularly applicable to methods of searching which enable efficient identification of compatible portfolios. Embodiments of the invention propose methods of searching which address the huge search space issue associated with identifying compatible portfolios. In particular, embodiments of the invention start their search operations simultaneously from both sides by both trying to form valid portfolios from candidate products until a valid solution is found and trying to find conflicts from the defined compatibility rules until a conflict is found which leads to the conclusion that no valid solution exists. A conclusion from either process will stop the whole searching process which can significantly reduce blind and unnecessary searching in the whole search space.

Abstract: This invention relates to methods and systems for message analysis and classification. It is particularly applicable to analysis and classification of very short messages such as “Tweets”. Embodiments of the invention provide methods for unbiased enriched representation for messages which can be used to transform very short messages into comparatively longer text. These methods can make use of word context information in addition to word information itself. This can provide text with enough information for analysis and classification without changing the information in the original message. Embodiments of the invention also provide a statistical learning mechanism which does not require pre-defined keywords, and can automatically detect inherent frequent words and word patterns. These methods can provide satisfactory classification accuracy even for very short messages.