Abstract: A system for and method of generating and visualizing one or more sharing event cascade structures associated with one or more content sharing events that occur across a network may include generating a plurality of sharing event nodes in the one or more sharing event cascade structures based on data associated with at least one of a system log and a database, wherein each sharing event cascade structure graphically represents a history of one or more content items being shared among a plurality of users of the network, and presenting, on a display device, a content sharing visualization diagram that illustrates the one or more sharing event cascade structures and enables a user to analyze sharing patterns associated with the plurality of users of the network.

Abstract: A system for and method of generating and visualizing one or more sharing event cascade structures associated with one or more content sharing events that occur across a network may include generating a plurality of sharing event nodes in the one or more sharing event cascade structures based on data associated with at least one of a system log and a database, wherein each sharing event cascade structure graphically represents a history of one or more content items being shared among a plurality of users of the network, and presenting, on a display device, a content sharing visualization diagram that illustrates the one or more sharing event cascade structures and enables a user to analyze sharing patterns associated with the plurality of users of the network.

Abstract: A method for organizing records of a database by topical relevance generates statistics on relevance by monitoring search terms used and search paths traversed by a database user community. Records reviewed most often in relation to a given search term are assumed to be most relevant to that search term in the eyes of members of the user community. Additionally, a record reviewed in relation to a plurality of search terms is determined to be related by topical relevance to other records reviewed in relation to that plurality of search terms. Again, a probability is calculated, based on a frequency of record review and search terms used, as a measure of this record topical relevance. An embodiment directed toward Internet searches provides for seeding the probability calculations with information from labeled data available from open source Internet directories. The activities of the user community are monitored, for example, at a proxy server, or by reviewing proxy server logs.

Abstract: A method for organizing records of a database by topical relevance generates statistics on relevance by monitoring search terms used and search paths traversed by a database user community. Records reviewed most often in relation to a given search term are assumed to be most relevant to that search term in the eyes of members of the user community. Additionally, a record reviewed in relation to a plurality of search terms is determined to be related by topical relevance to other records reviewed in relation to that plurality of search terms. Again, a probability is calculated, based on a frequency of record review and search terms used, as a measure of this record topical relevance. An embodiment directed toward Internet searches provides for seeding the probability calculations with information from labeled data available from open source Internet directories. The activities of the user community are monitored, for example, at a proxy server, or by reviewing proxy server logs.

Abstract: A system and method for optically identifying a product from a reference library of known products based on a reflected spectrum of the product. A broad wavelength light source illuminates the product and a spectrometer receives and forms a plurality of finely spaced wavelengths from the reflected spectrum. A detector optically processes the wavelengths to generate signals proportional to an amount of light received at each of the wavelengths. The signals are normalized and pre-processed to form data sets which relates each of the signals to each of the finely spaced wavelengths. This is performed for all of the different products and compiled. A set of basis functions is then generated for all of the different products and a corresponding set of basis coefficients is generated for each of the different products. This information, along with an electronic label for each product, is stored to form the reference library.

Abstract: Failed circuits (e.g., defects) on each of a plurality of semiconductor wafers (10) in a batch can be characterized for the purpose of identifying defect sources by first mapping the defective ones of the circuits (12.sub.1 -12.sub.n) in each wafer. A determination is made to see if the defects in the defect pattern map associated with each wafer (10) are sufficiently clustered to warrant further study. The defect pattern maps for the wafers in the batch identified as having spatial clustering present are smoothed and thresholded to identify where spatial clusters occur. All such smoothed and thresholded defect pattern maps are separated into groups in accordance with the pattern of defects. The pattern of defects associated with each group is then analyzed to determine if any relationship exists between the pattern and the order of the process steps or one of the patterns in a library of patterns associated with particular failure modes.