I am currently listening to my all-time favorite Pandora station, Neil Young radio. And I imagine that Pandora uses some type of data collection that indexes various songs, yet gives them multiple categories (similar to the ingredients of the cocktails index). In this way, Pandora can be adaptive when you choose to "like" a particular song, or "dislike" another. The program must then begin to add more songs which match up with that favored song's "ingredients," and vice versa with disliked songs.
Going back to Cohen's article, I was intrigued by the notion of H-Bot. Its ability to answer factual queries through data mining, supports the idea that this would free up professors and students to focus on more analytical ventures of topics, not having to get hung up on specific factual details. This can be related directly to our discussion of Wikipedia a few weeks ago. This site promotes only factual information, not subjective analysis. Disregarding its frequent fallacies, this site is in actuality in league with these H-Bot programs, and can help pave the road for more extensive and expansive analysis once the facts have been quickly ascertained.
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Go on, get down with your "Old Man"/"Heart of Gold" self... |