Abstract: A system for generating recipient-targeted electronic messages includes an electronic message generation module and a user interface that allows a user to interact with the electronic message generation module to generate the electronic messages. The electronic messages may include a live content element, which provides content to the electronic message that is determined by detected circumstances of the electronic message being opened. The electronic messages may include a smart content element, which provides content to the electronic message that is determined by a record of community activity. The electronic messages may include a kinetic content element, which provides content to the electronic message that is interactive to the recipient of the electronic message.

Abstract: A system for providing online-content includes a data-acquisition module configured to collect user data and product data. A configuration module determines a predictive algorithm and one or more filters based on received marketer-input. A recommendation engine generates recommendations in real-time, in response to a request. The recommendations are generated via the predictive algorithm, which generates scalar scores from the dot-product multiplication of at least one user-vector and at least one product-vector, the scalar score indicating the likelihood that a desired interaction will occur between the user and the product. The algorithm also determines a hierarchical list based on the scalar scores, and applies the filters to the hierarchical list so as to identify the recommendations. The recommendation engine can generate recommendations in two ways: recommend items based on users, and recommend users based on items.

Abstract: A system for generating recipient-targeted electronic messages includes an electronic message generation module and a user interface that allows a user to interact with the electronic message generation module to generate the electronic messages. The electronic messages may include a live content element, which provides content to the electronic message that is determined by detected circumstances of the electronic message being opened. The electronic messages may include a smart content element, which provides content to the electronic message that is determined by a record of community activity. The electronic messages may include a kinetic content element, which provides content to the electronic message that is interactive to the recipient of the electronic message.

Abstract: A system for providing online-content includes a data-acquisition module configured to collect user data and product data. A configuration module determines a predictive algorithm and one or more filters based on received marketer-input. A recommendation engine generates recommendations in real-time, in response to a request. The recommendations are generated via the predictive algorithm, which generates scalar scores from the dot-product multiplication of at least one user-vector and at least one product-vector, the scalar score indicating the likelihood that a desired interaction will occur between the user and the product. The algorithm also determines a hierarchical list based on the scalar scores, and applies the filters to the hierarchical list so as to identify the recommendations. The recommendation engine can generate recommendations in two ways: recommend items based on users, and recommend users based on items.

Abstract: The apparatus and method of the present invention is directed to an improved composite fence and, more particularly, to a composite fence made of cellulosic fillers and/or inorganic fillers. An alternative embodiment of the present invention is directed to a fence in which a substrate is embedded in a plastic composite. One example of a component of the present invention is comprised of a substrate sheet that is embedded in a plastic composite. Another example of a component of the present invention is a perforated substrate that is embedded in a plastic composite.