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Stamford, CT, United States

Gartner, Inc. is an American information technology research and advisory firm providing technology related insight headquartered in Stamford, Connecticut, United States. It was known as Gartner Group, Inc until 2001.Research provided by Gartner is targeted at CIOs and senior IT leaders in industries that include government agencies, high-tech and telecom enterprises, professional services firms, and technology investors. Gartner clients include large corporations, government agencies, technology companies and the investment community. The company consists of Research, Executive Programs, Consulting and Events. Founded in 1979, Gartner has over 5,300 employees, including 1,280 in R&D, located in 85 countries.Gartner uses hype cycles and magic quadrants for visualization of its market analysis results. Wikipedia.

Darling S.B.,Argonne National Laboratory | You F.,Argonne National Laboratory | You F.,Northwestern University | Veselka T.,Argonne National Laboratory | Velosa A.,Gartner
Energy and Environmental Science | Year: 2011

Photovoltaic electricity is a rapidly growing renewable energy source and will ultimately assume a major role in global energy production. The cost of solar-generated electricity is typically compared to electricity produced by traditional sources with a levelized cost of energy (LCOE) calculation. Generally, LCOE is treated as a definite number and the assumptions lying beneath that result are rarely reported or even understood. Here we shed light on some of the key assumptions and offer a new approach to calculating LCOE for photovoltaics based on input parameter distributions feeding a Monte Carlo simulation. In this framework, the influence of assumptions and confidence intervals becomes clear. © 2011 The Royal Society of Chemistry. Source

Methods and systems for creating an implicit profile for use by a recommendation engine or a question router is provided. User behavior on at least one of one or more electronic devices and an electronic communications network is tracked. User-related information relating to the user behavior is analyzed to extract or derive key words therefrom. The key words are stored in a profiles database as the implicit profile and used by the recommendation engine or question router to characterize user interests, expertise, and skills when matching a request from a querying user to a potential user or group of users having the relevant background to respond to the request.

A system and method for aligning a generally flat, planar object and for facilitating the mounting of the generally flat planar object, such as a printing plate, in near perfect alignment in a cylindrical manner. A printing plate cylinder is covered with stickyback having a release liner. A narrow axial strip of release liner is removed and replaced with a piece of release liner that may be pulled or tugged from beyond the end of the printing cylinder. The printing plate is next rolled into a cylindrical form and held in place on a device which allows registration marks on the printing plate to align the two ends of the printing plate prior to the printing plate ends being temporarily adhered to one another using a piece of tape or similar product. The aligned printing plate is next slid over the printing cylinder which is covered with sticky back. The piece of release liner covering the section of previously removed stickyback is removed and a portion of the aligned printing plate is adhered to the stickyback at that point. The piece of tape holding the two ends of the printing plate in alignment is now removed along with the remainder of the release liner on the stickyback of the printing cylinder and the remainder of the printing plate is attached to the printing cylinder, providing an aligned printing plate on a printing plate cylinder. A machine vision system is used to record and certify the alignment and can also be used to aid in the alignment process based on prior aligned plates or a reference target alignment position.

Methods and apparatus for modifying a user profile for a recommendation algorithm are provided. A user is provided with electronic access to an item. The item may comprise one of a document, an article, a chart, a graphic, a report, a web page, or the like. User interaction with the item is enabled. The user interaction with the item is then electronically tracked and stored. The users user profile used by a recommendation engine is then modified based on the tracked user interactions. The user interaction may comprise at least one of annotating, highlighting, modifying, customizing, adding comments to the item, and the like. The user modified item can be saved and details of the user interaction with the item may be used to modify the user profile. At least one of items or peer recommendations can then be provided to the user based on the modified user profile.

A networked peer and item recommendation system makes recommendations to users such as documents of interest and peers with whom the users may want to connect. User profile information is maintained in a profiles database. A log enables the collection of user behavior information. A cluster filtering algorithm determines a cluster that a querying user belongs to. A collaborative filtering algorithm locates other users having implicit and explicit profiles in the database that are similar to the profile of the querying user. A dynamic expert verification algorithm is associated with the collaborative filtering algorithm to verify the qualifications of users and produce bias towards users with higher quality interactions. A search engine returns items based on a keyword provided by the querying user. A sorting algorithm sorts the items returned by the cluster filtering algorithm, collaborative filtering algorithm and search engine for presentation to the querying user.

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