Dinnerbuzz Review

July 1st, 2005

I had a chance to play with a fun new social application today called Dinnerbuzz. The premise is simple: It's a social network for people to find new places to eat - and to mark off the ones that they've already visited. I signed up and started testing it out. There's only a handful of users from around the country on the site, and none from my city, Rochester, NY. So, coupled with the efforts of my girlfriend Julia we set about entering a number of new places into the database.

Adding a new restaurant to the database isn't 'that bad'. There's a simple form, you provide the name of the restaurant, it's relative location (you can even be vague, which is nice), tags, and a description. All of this is powered by the Yahoo Local API, making sure that all restaurants entered are correctly identified and labeled. If a restaurant is not in the API is has to be approved by an admin, which seems kind of silly for a user-submitted web site.

Now, it's time for some complaints: The tags are certainly interesting, in this context, but I'm not really sure if they work for restaurants. Some tags are immediate 'chinese', 'italian', 'pizza', etc. But how should you tag price ranges, food quality, or experience - it becomes incredibly confusing from person-to-person and daunting to manage within a single account. Should you say 'expensive' or '$20' - if you say 'nice' are you referring to the food or the service? I've found myself using the tag 'moderate' - but does it mean moderate price or moderate quality? Who knows! This may be one application to which tagging, of this kind, is not ideally suited.

I should warn you, however, that there are still a couple bugs in the system, and the GUI isn't completely flushed out yet. For example, there's no way to delete an entry once you've submitted it. (Update: This feature has since been added. Thanks Justin!) I went through and provided ratings for every restaurant that I had been to, including national chain franchises. In retrospect, I'd like to delete the national chain entries, as they're so commonplace that another review seems redundant. I'm going to try and limit myself to local restaurants and local chains. Also, whenever tags are listed, they're listed as 'Recent Tags', which is rather useless (In my opinion) and should be a delicious-like 'Popular Tags'.

Additionally, there doesn't seem to be any sort of 'friends' or 'contacts' feature - I would definitely like to be able to see where my friends are eating and what they think of those places - the results of which I would use in the future.

I think there's a lot of potential for this service, there's RSS everywhere which is nice because I've been looking for some way to pull my latest dining experiences into a feed - and this may be it. Considering that the service is still in its, relative, infancy I'm looking forward to seeing other users join and provide their input. It would be very cool to see other services tied in too, such as Flickr, Upcoming.org, and 43Places. So, on that note - here's my profile, now go and contribute!

Tags: food, restaurants, dining, social, network, web, app, local, yahoo, dinnerbuzz

5 Comments on 'Dinnerbuzz Review'

Visual Friend Identification

March 14th, 2005

Something that I've been tinkering around with the past couple of days is the concept of providing visual cues to associate a name with a face, so to speak. For example, I find it to be much easier, mentally, to make the connection between someones face and who they are then someone's cryptic username (which, in turn, is associated with someone's name, then associated to a face - a much, much slower process, for me, that results in a lot of dead ends). To combat this, I've been making a lot of changes to my personal data. The most notable of which is: Locating a headshot picture of all of your friends. In theory, I want to quickly and easily associate someone's online persona with their real life person. It's a challenge and I'm not yet sure how well it will go. However, in order to test it, the first step is to find as many friend headshots as possible. Here are a couple resources that I've used, thus far:

• AIM Icons - Users of AOL Instant Messenger can easily associate an icon with their online persona, however most icons are nonsensical and are of little use.
• Live Journal Buddy Icons - On LiveJournal, users have the ability to provide a few icons that they can, in turn, associate with certain comments/blog posts that they make. These can be quickly accessed by visited the URL:

  http://www.livejournal.com/allpics.bml?user=LJ_USERNAME

• Gravatar - This site provides a hosting resource for associating a global image (avatar) with your email address, to be displayed on blog comments that you make. This is an excellent resource and as it comes with an API, very usuable too.
• FOAF - If you use FOAF (or if you don't know what FOAF is, but use LiveJournal) then you may have access to a number of your friend's pictures FOAF provides a field for people to include a URL to their personal image, which can come in terribly handy.
• Image Search - The final resource (unless, of course, you actually have a picture of your friend handy, then you can skip all the above steps) would be a thurough search of the Internet. Searching by name, nickname, username, and email address all help.

Now that you have a nice list of pictures for all of your friends, here is what you can do: Associate that picture with that person everywhere possible. The first thing that I did was to update the buddy icons for all of my AIM buddies. This gave me a highly usable visual buddy list to browse (also pictured above). The second step was to associate the images with all of my frequent email contacts. Thankfully, OSX makes this process terribly easy. I can take an email address/name from Mail.app, right-click, and add it to my address book. I can then edit the address book entry for that user and add their AIM buddy name. Now I've tackled two of my most frequently used forms of communication: Instant Messenger and Email, but that still leaves a large ocean uncharted: The web.

At this point in the game, I decided to go back to my old friend GreaseMonkey. Essentially, I wanted to write a script that would search through a page looking for certain names, nicknames, and usernames and insert an image to be associated with it. And so, that's what I did. Right now it's very rough around the edges and requires a lot of user customization.

• name2face - This script requires a lot of configuration. Please modify the data structure within the program to change which users you would like to match and display for, otherwise you'll just see a few of my friends, currently.

Ideally I'd like this plug-in to pull from some sort of a dynamic XML repository (possibly in FOAF format?) that could be updated easily. The results are very interesting. Browsing social networking sites, Gmail, and other forms of communication have taken on a whole new feel. I really feel that a service like this has a lot of potential and should be explored more fully, which I hope to do soon.

Tags: friends, greasemonkey, network, social, visual

27 Comments on 'Visual Friend Identification'