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FriendFeed Adds Summaries

For all you FriendFeed junkies out there that simply don’t have enough hours in the day to get the most out of the service, Bret Taylor has your best interests in mind, and has come up with a solution for you. He just emailed me a few minutes ago announcing that they’ve rolled out a new feature that creates a personalized set of reccomendations based on your FriendFeed usage and social graph.

The feature takes the most active and interesting conversations within your circle of FriendFeed contacts and shows the most highly rated conversations from the last 24 hours, last seven days, or last month. The functionality was born of necessity for Bret himself:

It is really useful if you only have a couple minutes to check FriendFeed, and you only want to see the most interesting entries. It is also useful if you haven’t checked FriendFeed in a while and want to see what you missed (I just used it to get a summary of the two weeks I missed when I was on vacation in Peru).

Aside from that functionality, depending on how you have FriendFeed set up and who you’re following, it can turn the service into what is essentially a popular meme aggregater (ala Techmeme and Memeorandum).

My typical usage patterns of the service are logging in during a few points during the day, and checking the first two pages or so, commenting on the interesting topics, and then going to my personal pagest (the “Me” tab, and the “My Comments” function) and following up on older conversations I’ve had on the service. Still, since I don’t have the site open all day long, I know I miss out on a lot of interesting things, and this function promises to keep me from missing out.

Take a look at it, and see if you don’t come to the same conclusions.


Related Articles at Mashable! - The Social Networking Blog:

FriendFeed Launches Search
FriendFeed Recommendations? Who Are You Likely to Like?
FriendFeed Gets $5M, Launches to the Public
Former Googlers Team Up to Launch FriendFeed
FriendFeed Brings Twitter Back
FriendFeed Launches Rooms. Moving Towards Semantic Web?
FriendFeed for iPhone Coming - I’ve Waited For This All My Life





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