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October 26, 2009 12:00 PM PDT

Glue adds game dynamic, suggestion stream, profiles

by Harrison Hoffman
  • 1 comment

I've written about social recommendation network Glue before, noting that it is a social network that is just along for the ride as a Firefox/IE extension that slides out when you need it. The basic idea is that when you visit a site that's supported by Glue (IMDB, Amazon, Wikipedia, Last.fm, and a lot more), the Glue extension will slide out and tell you what your friends thought about that particular piece of content and give you the option to review it yourself. It's a great concept where the information comes to you instead of you having to seek it out. Today, Glue is adding a more traditional profile-based system to the site, which provides more incentives for users to contribute regularly.

Glue investor Fred Wilson's new profile on the site, complete with Stickers and Guru.

(Credit: Screenshot by Harrison Hoffman/CNET)

Adding a "game dynamic" to your service is a proven technique that boosts user engagement. Glue is hoping to do just that with its new profile system on GetGlue.com. It is taking a page out of Foursquare's book and adding "Stickers" for user accomplishments and declaring "Guru" status for those who comment most frequently on a particular piece of content.

The similarities to Foursquare's Badges and Mayor features are pretty apparent here. Glue's Founder and CEO Alex Iskold commented, "We've been admiring what Foursquare did to encourage people to engage with their service." On the subject of the Guru feature, Iskold told us that, "Guru is something that we developed to encourage people to really engage around things they love. Unlike Mayor, being a Guru is a bunch more work, since you need to actively comment on things to stay the Guru."

Glue is also adding suggestions, presented in the form of a stream. As you give the thumbs up to pieces of content throughout the Web, these suggestions will evolve and become more targeted. Their algorithm also takes into consideration what your friends' favorites are as well as the overall favorites for the community. Hopefully your own ratings have some more weight than popular content, or else Metallica fans might be staring down streams filled with Miley Cyrus.

Even though I like the hands-off nature of Glue's browser extension, I think that their profile system is a strong addition to the service. The new game dynamic will certainly drive more user interaction as people compete for Guru status and collect Stickers for their profile. Glue also threw a couple of new statistics our way to give us an idea of their growth. Currently, the service is getting a new rating every three seconds and a total of 1.2 million new interactions between people and things every month.

Here's a nice video that the guys at Glue put together for this release to explain the service:


June 30, 2008 1:48 PM PDT

Digg's recommendation engine slated for release this week

by Harrison Hoffman
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The social news/video/photo site, Digg, will be rolling out their long anticipated recommendation engine to users this week. The rollout will be starting with a random sampling of users and eventually moving towards the entire user base at the end of the week. Digg's recommendation engine will try to engage more users in the upcoming section of the site by recommending stories from similar users.



Digg's upcoming section, where stories wait for enough diggs in order to get promoted, has been very intimidating for users to jump head first into, given the volume of stories being submitted. It was fairly hard to sift through all of the crap in order to get to the real gems. Hopefully the introduction of a recommendation engine will make it a lot easier for users to find the quality submissions.

I believe that the addition of a recommendation to Digg is going to significantly help with the usability of the site and direct people towards the long tail of submissions. By adding a lot of new eyes to the upcoming section, Digg's homepage will certainly get a much fresher look than we have seen recently.

Digg's new recommendation engine lets you compare your tastes with the tastes of other users.

(Credit: Digg the Blog)

The other important factor to look at here is the apparent benefit that the recommendation engine will be giving to websites. Making content more discoverable on Digg means more traffic for the sites that the content has been submitted from. I suspect that more and more sites will begin to feel the Digg effect as a direct result of the launch of this feature.

The introduction of a recommendation engine should give Digg a nice jolt. I haven't seen the feature in action yet, but if it is implemented correctly, I see Digg becoming a much more valuable resource and frequented by a lot more people. Kevin Rose posted a couple of videos on the Digg Blog which you can see embedded below. The first is an overview by Kevin of the recommendation engine, complete with graphics and the second features Anton Kast, Digg's Lead Scientist, talking about the new engine. You can read his whitepaper on the subject here.

... Read more
June 17, 2008 8:00 AM PDT

Baynote ramps up offering with Collective Intelligence Platform

by Harrison Hoffman
  • 1 comment

Baynote specializes in using traffic and user data in order to tailor recommendations and generate more sales. Launched in June 2006, Baynote employs this "wisdom of the crowds" approach and provides customized reporting to large companies. Today, Baynote is launching their Collective Intelligence Platform. On top of their prior capabilities, Baynote's web software now allows for automatic email customization, featuring product recommendations, based on collected data. In addition, new features for mobile, search, and customized statistics are also included in this release.



Personalized recommendations are something that has been wildly successful for sites like Amazon and Netflix in the past, however their respective systems have been highly tuned to their specific markets. Baynote hopes to provide a system that can be implemented across a variety of scenarios.

Baynote's target markets are large online retailers, enterprise, and media, but I would love to see a service like this float down to small and independent businesses. Baynote's platform covers a broad range of potential points of sale and the reach of their statistics, testing, and reporting components is extensive. It is not a new idea that we can use social recommendations to leverage the revenue potential in the long tail, however it's always good to see advances in this area.

Update: Changed to more accurately reflect target markets and launch date.

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About The Web Services Report

Harrison Hoffman is a tech enthusiast and co-founder of LiveSide.net, a blog about Windows Live. The Web Services Report covers news, opinions, and analysis on Web-based software from Microsoft, Google, Yahoo, and countless other companies in this rapidly expanding space. Hoffman currently attends the University of Miami, where he studies business and computer science.

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He is a member of the CNET Blog Network and is not an employee of CNET. Disclosure

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