Talk:Collaborative filtering
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[edit] AlexLit
The AlexLit.com is not a collaborative filtering company or product but rather a booko store that sells eBooks. I think it should be removed.
- Actually, AlexLit.com has a recommendation system that uses collaborate filtering. Look at the left hand side of the page for 'Recommender' under Departments.
[edit] Barnes & Noble
On the other hand, where is the collaborative filtering on Barnes & Noble?
- "B&N Customers who bought this book also bought...". See an example.
[edit] Analysis of applications
- Audiobaba Alexa rank = 760,909 Possibly commercial
- FilmAffinity Alexa rank = 18,305 Commercial.
- KindaKarma Alexa rank = 2,780,513 And Commercial
- MovieCritic Alexa rank = - Now Closed from Macromedia so clearly was commercial
- Musicmobs Alexa rank = 193,467 And Commercial
- MyStrands Alexa rank = 153,177 Commercial.
- Popularism Alexa rank = NO DATA Not working
- Rate Your Music Alexa rank = 11,012 Commercial
[edit] For Wikipedia
Some enterprising graduate may want to create a tool that recommends Wikipedia articles you would like to edit based on the set of edits made by users.
- Heh, see SuggestBot. -- ForteTuba 00:14, 8 April 2006 (UTC)
[edit] Difference bet. "passive filtering" and "implicit filtering"?
What really is the difference between "passive filtering" and "implicit filtering"? --Amit 20:22, 18 September 2006 (UTC)
It's subtile passive is checking what you do ... implicit will be more convert action into data. I.e first one is looking at your surf ... second one is more say that what you buy is what you like. | french user Leafar
They seem like the same thing, I think the sections should be merged. --Robbrown 23:23, 24 October 2006 (UTC)
- Only if there are sufficient references stating that they are the same would a merger be recommended. At this time the sections could probably be made clearer. --Amit 00:01, 25 October 2006 (UTC)
Reading this article, I really can't see any difference between the two. It's very confusing! -- orangejon
Just as a passerby, I think the section on active vs. passive and implicit vs. explicit is a little off. Active filtering does not imply explicit voting, and passive filtering does not imply implicit voting. Rather, passive filtering is where one collects metadata about an item and ranks it thus (ex, everyone buys this book, so you should, too). Active filtering is where one collects data on each user than compares them to each other (or items, if its an item-centric CF). The way you collect the information, either explicitly or implicitly, is not directly linked to the filtering method - for example, one could use product purchases in an active filtering way, or take votes for articles in a passive way (think of Digg). Just my two cents.
[edit] Broken link
"A collection of past and present "information filtering" projects (including collaborative filtering) at MIT Media Lab" is broken - anyone fancy figuring out whether the same content is now elsewhere?
