tag:blogger.com,1999:blog-6569681.post114399041413086988..comments2024-01-15T13:17:33.771-08:00Comments on Geeking with Greg: Early Amazon: RecommendationsGreg Lindenhttp://www.blogger.com/profile/09216403000599463072noreply@blogger.comBlogger9125tag:blogger.com,1999:blog-6569681.post-81533756182877732342015-10-08T00:57:48.652-07:002015-10-08T00:57:48.652-07:00Being a Masters student doing thesis on Web Page R...Being a Masters student doing thesis on Web Page Recommendation, I would like to know more on the recommendation algorithms used currently at Amazon and also the scope of integrating semantic web technologies with web page recommendation.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6569681.post-37201937020609039632014-09-10T18:35:49.251-07:002014-09-10T18:35:49.251-07:00this is great! when did the events you detail occu...this is great! when did the events you detail occur? in other words, when/in what year did Amazon introduce Instant Recommendations?joncateshttps://www.blogger.com/profile/10721378984857387989noreply@blogger.comtag:blogger.com,1999:blog-6569681.post-12015240773188045072007-09-11T07:45:00.000-07:002007-09-11T07:45:00.000-07:00Hi, Chris. I'd love to see Amazon do personalized...Hi, Chris. I'd love to see Amazon do personalized search, different search results for different people based on their past behavior and interests.<BR/><BR/>Stepping back for a second and looking at the bigger picture, I think it is hard to say that Amazon is anywhere close to done. The experience of shopping at Amazon is hardly effortless, full of discovery, or even all that pleasant.<BR/><BR/>Going to Amazon should be like walking into your favorite store, the nearest shelves piled high with things you like, everything you don't need fading into the background. When you walk up to an item, everything you need to quickly evaluate it and decide whether to buy it should float to your attention. Buying should be effortless, a couple clicks at most, with no unpleasant surprises (such as hidden shipping charges, delays, or belated out of stock e-mails).<BR/><BR/>Amazon has taken some steps toward that vision, but is a long way from there.Greg Lindenhttps://www.blogger.com/profile/09216403000599463072noreply@blogger.comtag:blogger.com,1999:blog-6569681.post-50031065454579303002007-09-10T23:09:00.000-07:002007-09-10T23:09:00.000-07:00With Amazon apparently testing the biggest site re...With Amazon apparently testing the biggest site redesign in years, I'd love to get your thoughts on where you think Amazon still has opportunities to improve their game. <BR/><BR/>-Chrissearchquanthttps://www.blogger.com/profile/13673267260945665132noreply@blogger.comtag:blogger.com,1999:blog-6569681.post-1144051617932240192006-04-03T01:06:00.000-07:002006-04-03T01:06:00.000-07:00After reading your post, I just read your paper "a...After reading your post, I just read your paper "amazon.com recommendations" http://ieeexplore.ieee.org/xpl/abs_free.jsp?arNumber=1167344 . I guess that's the algorithm you are referring to in your post? In the end, it is somewhat similar to association rule mining (customers who bought A also bought B) except that you calculate the similarity of the items later on. What do you think about association rule mining and how does it compare to your algorithm? I missed that comparison in your paper...Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6569681.post-1144022016536930712006-04-02T16:53:00.000-07:002006-04-02T16:53:00.000-07:00mb, the algorithms behind Findory are quite a bit ...mb, the algorithms behind Findory are quite a bit different. Recommending news stories has some unusual challenges. In particular, news stories are generated much more rapidly and expire much more quickly than books or other products.<BR/><BR/>Anonymous, which academic recommendation systems? <BR/><BR/>Anonymous #2, I do like the motivation behind Google's 20% time program. I'm not sure if 20% time is ideal for Amazon, but it does seem to work well for Google.Greg Lindenhttps://www.blogger.com/profile/09216403000599463072noreply@blogger.comtag:blogger.com,1999:blog-6569681.post-1144021008745805102006-04-02T16:36:00.000-07:002006-04-02T16:36:00.000-07:00To an outsider, Instant Recommendations sounds an ...To an outsider, Instant Recommendations sounds an awful lot like how Findory works. You get results after just a few articles, and it doesn't require nightly batch jobs to recalc.<BR/><BR/>Does Findory use a similar approach, or is personalizing news and blogs that much different from personalizing book recommendations?mbhttps://www.blogger.com/profile/01888886220370104819noreply@blogger.comtag:blogger.com,1999:blog-6569681.post-1143999291852021812006-04-02T10:34:00.000-07:002006-04-02T10:34:00.000-07:00So do you recommend Amazon adopt Google's 20% time...So do you recommend Amazon adopt Google's 20% time program?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6569681.post-1143996746503704642006-04-02T09:52:00.000-07:002006-04-02T09:52:00.000-07:00How was your recommandation system related to acad...How was your recommandation system related to academic ones ?Anonymousnoreply@blogger.com