tag:blogger.com,1999:blog-8455468843833525066.post3566046614832358718..comments2023-08-17T10:18:24.628-04:00Comments on Multilitteratus Incognitus: MOOC Participants who liked this post, also found this useful....Apostolos K. ("AK")http://www.blogger.com/profile/02198465120131968928noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-8455468843833525066.post-61759676124148003082013-12-08T13:07:25.647-05:002013-12-08T13:07:25.647-05:00Thanks for the comment :) I am actually not relate...Thanks for the comment :) I am actually not related to Ask.com (formerly askjeeves) I just liked the character and tied into that past of ask.comApostolos K. ("AK")https://www.blogger.com/profile/02198465120131968928noreply@blogger.comtag:blogger.com,1999:blog-8455468843833525066.post-33467345001050813992013-12-07T00:50:12.970-05:002013-12-07T00:50:12.970-05:00It surprises me too that no-one has yet implemente...It surprises me too that no-one has yet implemented a recommender system for learning objects. Most repositories have some kind of rating system but not even the slightest effort to weight the ratings in terms of the rater's closeness to one's own pattern of past ratings (let alone anything as sophisticated as what you are suggesting). I think such a system might well be of more general interest and should be implemented outside the scope of any specific platform, and I hope to hear more of your progress on this initiative. <br /><br /><br />P.S. Re the name Jeeves: Do you have any connection with ask.com (aside from the fact that apparently someone called Apostoulas(!) Gerasoulis was a co-creator of their algorithmic search technology)?Apostolos K. ("AK")https://www.blogger.com/profile/02198465120131968928noreply@blogger.com