A Guide to Recommender Systems. We're running a special series on recommendation technologies and in this post we look at the different approaches - including a look at how Amazon and Google use recommendations.
The Wikipedia entry defines "recommender systems" as "a specific type of information filtering (IF) technique that attempts to present information items (movies, music, books, news, images, web pages, etc.) that are likely of interest to the user. " That entry goes on to note that recommendations are generally based on an "information item (the content-based approach) or the user's social environment (the collaborative filtering approach). " We think there's also a personalization approach, which Google in particular is focused on. Recommender Systems for Information Providers. Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase.
Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant products, stores profit from rising sales. All aspects of recommender systems are covered: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world applications. Communications of the ACM. Machine Learning Research Group. Adding Value to the Library Catalog by Implementing a Recommendation System. Abstract Recommender systems are useful tools for adding a reference component to a library catalog, and they help develop library catalogs that serve as customer-oriented portals, deploying Web 2.0 technology.
Recommender systems are based on statistical models, and they can lead users from one record to similar literature held in the catalog. In this article we describe the recommender system BibTip, developed in Karlsruhe University, and we discuss its application in libraries. Recommender Systems in General Recommender systems are flourishing on the Internet. Before the advent of the Internet, most recommendations came to us either from people we knew or from published reviews. Library services are well suited for the adoption of recommender systems, especially services that support the user in the search for literature in the catalog. Personal recommendation software predicts consumer choice - November 27, 2006.
The setup (Fortune Magazine) -- "If a girl says she likes 'The Big Lebowski,' instantly, I think 'stoner.' " That's Matthew Kuhlke speaking.
We're sitting at a table full of grilled meat and jug sodas on a late-summer weeknight in midtown Atlanta. "She hangs out with a bunch of guys. She dates them a little bit, but she really just likes the attention. " Also at the table: Kuhlke's business partner, Adam Geitgey. I've invited Kuhlke and Geitgey to the restaurant of their choosing to talk about movies and personality. The site administers a personality test to visitors and recommends DVDs based on the findings. Once they make their picks, my plan is to corner the unsuspecting strangers and see how perceptive these film nerds really are.
Recommender systems like Whattorent.com are sprouting on the Web like mushrooms after a hard rain. The idea isn't new, of course. What does the fact that you drive a Prius and buy organic baby food say about you? Online, the picture becomes clearer. Www.win.tue.nl/~laroyo/2L340/resources/Amazon-Recommendations.pdf. 5 Problems of Recommender Systems. Earlier this week we posted a Guide to Recommender Systems, as part of our series on recommendation technologies.
In this post we look at some of the challenges in building or deploying a recommender system. And yes, Napoleon Dynamite is one of them. The Art, Science and Business of Recommendation Engines. By Alex Iskold In October last year, Netflix launched an unusual contest.
The online movie rental company is offering 1 million dollars to anyone who can improve their recommendation engine by 10%. Netflix is known for its innovation and bold moves and in the grand scheme of things, $1M is not a lot of money for such a business. The competition is still running (it "continues through at least October 2, 2011"), so is this a publicity trick or an attempt to do research on the cheap? Recommender system. Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information filtering system that seek to predict the 'rating' or 'preference' that user would give to an item.[1][2] Recommender systems have become extremely common in recent years, and are applied in a variety of applications.
The most popular ones are probably movies, music, news, books, research articles, search queries, social tags, and products in general. Audacity Setup Tutorial. Installing the Audacity LAME MP3 Encoder. Audacity Tutorial: Part II. Audacity Tutorial: Part I. Audacity Tutorial for Podcasting. Podcasting Tutorial. Podcasting Tutorial. This podcasting tutorial will show you how to create and publish your very own podcast quickly and easily!
Think about listening to a radio show on a topic that you're interested in, but instead of having to tune in at a specific time and station, you can listen to the show at the time and place of your choosing. That's what podcasting enables you to do. Podcasting is the recording and publishing of audio and in some cases, video files, so that subscribers can automatically be fed new content, and listen to it at their leisure on portable devices such as iPods, MP3 players, or computers. Think how a desktop news aggregator works. You subscribe to a set of RSS feeds, and then can easily view the new stuff from all of the feeds together, or each feed separately.
Podcasting works the same way, with one exception. For perfect streaming or fast download of your podcast consider getting business hosting. How to Podcast: Four Basic Steps. This podcast tutorial is broken down into four steps: Plan Produce Publish Promote.
Audacity Tutorial for Podcasters. In this Audacity tutorial you'll finally press record.
We'll take a tour of the software and learn how to record your podcast. NOTE: There are video tutorials available on this page. They are marked with a icon. Windows 7 OS. Audacity and Windows 7 Current versions of Audacity fully support Windows 7. The new 2.0 series of Audacity explicitly supports Windows 7 and replaces the 1.2 series which does not support Windows 7. Please subscribe to our announcements mailing list to be notified of new releases containing improvements for Windows 7 as we make them. Please let us know of any reproducible problems you encounter with Audacity and Windows 7.
Before writing, please check this page, the Release Notes for the current version and Known Issues for any issues discovered since release of the current version.