Comments on: Recommendation Is Still the Holy Grail For News http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/ Tue, 21 May 2013 23:56:46 +0000 hourly 1 http://wordpress.com/ By: Can Delicious Solve Our Information Discovery Problem? « The Joe Lake Blog The Joe Lake Blog http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-619949 Wed, 27 Apr 2011 22:13:54 +0000 http://gigaom.com/?p=303166#comment-619949 [...] the surface of what they could do in terms of information discovery and smart recommendation, which I have argued in the past is the Holy Grail of media. Instapaper has added features that let you share with others, and see what your friends have [...]

]]> By: Can Delicious Solve Our Information Discovery Problem?: Tech News and Analysis « http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-619946 Wed, 27 Apr 2011 21:45:53 +0000 http://gigaom.com/?p=303166#comment-619946 [...] the surface of what they could do in terms of information discovery and smart recommendation, which I have argued in the past is the Holy Grail of media. Instapaper has added features that let you share with others, and see what your friends have [...]

]]> By: News.me and Trove Bring Us Closer to the Daily Me: Tech News and Analysis « http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-618613 Wed, 20 Apr 2011 22:30:14 +0000 http://gigaom.com/?p=303166#comment-618613 [...] by the media — new media is more about personalization and customization. In other words, the quest for a “Daily Me.” But it’s still unclear how exactly we’re going to get there: Are Facebook and Twitter [...]

]]> By: The NYT adds recommendation features to its article pages » Nieman Journalism Lab » Pushing to the Future of Journalism http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-607166 Thu, 10 Mar 2011 19:54:35 +0000 http://gigaom.com/?p=303166#comment-607166 [...] “news nerd only” phase: How will regular users respond to the As Mathew Ingram recently put it, “Recommendation Is Still the Holy Grail For News.” Posted today, 2:30 p.m. [...]

]]> By: Will Social News Make People Use LinkedIn More Often?: Tech News and Analysis « http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-607104 Thu, 10 Mar 2011 17:30:10 +0000 http://gigaom.com/?p=303166#comment-607104 [...] the tsunami of news that is available online — I’ve written many times about the need for more recommendation systems for news, and about some of the efforts that startups such as News360 and the newly-launched iPad [...]

]]> By: The Race to Build the “Daily Me” Continues: Tech News and Analysis « http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-606712 Wed, 09 Mar 2011 18:59:06 +0000 http://gigaom.com/?p=303166#comment-606712 [...] are interested in (does anyone remember PointCast?). But as I noted in a recent post on the topic, many of these efforts are lackluster at best, and irritating at worst. They either require too much fiddling to tune them, or they don’t show any intelligence at [...]

]]> By: Todd Martin http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-604581 Sat, 05 Mar 2011 03:37:28 +0000 http://gigaom.com/?p=303166#comment-604581 Hi Mathew. You might want to give the site I work on (http://feedsanywhere.com) a try. FeedsAnywhere was featured on Web Worker Daily last summer and its a web based RSS/Atom feed
reader that learns what you like so you can read the most interesting stuff first. If something is incorrectly thought to be interesting you can correct it. As with any machine learning I’ve seen it
takes a little time before you get accurate recommendations, but in my opinion the results are worth it. Syncing with Google Reader can give it a jump start.

FeedsAnywhere also tries to tackle what you call the “Google News problem” by hiding near exact duplicates and grouping similar stories so you can mark them all read at once. Though there is still a lot of room to improve in this area. If you decide to check it out your feedback is appreciated.

]]> By: Search, Personalization And Recommendation | WebProNews http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-604204 Fri, 04 Mar 2011 15:04:37 +0000 http://gigaom.com/?p=303166#comment-604204 [...] GigaOm thinks that recommendation is still the holy grail for news: [...]

]]> By: Guillaume Decugis http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-603216 Wed, 02 Mar 2011 13:00:21 +0000 http://gigaom.com/?p=303166#comment-603216 I think the big difference between Facebook/Twitter and personalized News is the status it puts users on: active vs passive.

Social Networks put you in an active role: you build your network and your incentivized to publish. News readers naturally put you in a passive mode: you just read.

From there on, it’s much harder keeping you engaged and you don’t have the same amount of affinity with the content on news readers than social networks. And without engagement, affinity and usage, any recommandation strategy is likely to fail.

Now there’s however also some relevancy issues with social networks: because they’re people-centric, social networks are not good at making recommandations on niche topics or topics I don’t share with my community.

We’ve hit that wall developing a social news reader on smartphones and that’s why we decided to take a different approach for our new product (disc: I’m the CEO of Scoop.it). The approach consists of building a topic-centric social media where people can publish and share content on topics (rather than with all their friends or followers). Eg: I can follow CleanTech but decide not to follow Mobile Industry News. Making it possible for niche topics or topics I don’t share with my friends/followers to emerge and increasing relevancy to me.

]]> By: Quickthink » Blog Archive » Om Malik’s Message http://gigaom.com/2011/02/28/recommendation-is-still-the-holy-grail-for-news/#comment-603163 Wed, 02 Mar 2011 09:01:23 +0000 http://gigaom.com/?p=303166#comment-603163 [...] services that consistently makes good recommendations about which news stories are worth following. Here is a link to Matt’s article. Matt argues that Facebook and Twitter are ahead of the pack because of [...]

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