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Impressed by an article you've read? Maybe not so much? RSSOwl lets you share your opinion of any article using the AmphetaRate "recommendation system," and, in turn, benefit from your participation in the system by automatically obtaining articles that reflect your preferences.
AmphetaRate works this way: When you rate an article, your preferences are submitted to the AmphetaRate server. When the system has collected enough rating information from you, it assigns (or reassigns) you to a collection of other users who share similar preferences (called "neighbors"). Articles from your "neighborhood" are then issued to you whenever you update your AmphetaRate feed. AmphetaRate is also using a content based Bayesian filter algorithm to calculate recommendations.
Note: Your AmphetaRate preferences data is tied to your username (described below) only, and the server does not collect any personal or machine information. Thus, if you change or reset the AmphetaRate username used in RSSOwl, you will have to retrain the ratings system as described later in this topic.
RSSOwl is installed with an AmphetaRate category and "Latest Best News" feed of articles that have been given top marks by other AmphetaRate users. You can use this newsfeed immediately, but to contribute to and gain full benefit from the rating system, you must first obtain (or enter) an AmphetaRate username and password, then "train" the system to provide the types of articles that reflect your interests.
If you think you have enough information from the description to rate the article, click the Rating button/dropdown list on the News pane bar and choose a rating from "Fantastic" to "Very Bad". You can also rate the currently selected article by choosing Rate News from the Newsheader menu. Either way, your rating is immediately displayed in a small icon inside the status bar.
If you want to read the full article before deciding on a rating, click the article link in the upper portion of the News pane (or double-click the article in the Newsheader article list). The article loads into the browser. When you've read enough to decide on a rating, return to the Newsheader article list by choosing the appropriate newsfeed tab at the top of the Newsheader pane. The article you reviewed should still be selected in the article list. Rate the article by clicking the Ratings button/dropdown list in the News pane or selecting Rate News from the Newsheader menu.
If you've rated just a few articles, AmphetaRate may not yet have enough information to assign you to a "neighborhood." To help the system tailor its recommendation feed to your interests, you'll need to "train" it. As with all such processes, AmphetaRate training can take some time. Be patient with it, though--it's worth it. Here's how to get started with the training process.
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