We’ve just announced a new version of theSUGGESTR.com. If you found your way to this site then you’ll probably want to try out our new release of theSUGGESTR.com.
You can learn more about our new release by clicking here.
Archive for category theSUGGESTR
theSUGGESTR.com blog
Jan 16
We are separating out our posts related to our website theSUGGESTR.com. The new blog we’ll be hosted on theSUGGESTR.com domain and will focus on updates and annoucnments pertaining to theSUGGESTR.com. This blog will continue to look at a variety of technology and internet related topics and will host any spin-off applications (like BBTrackr).
Screencast.com vs. YouTube
Jan 13
After the past few days putting together our first screencast for theSUGGESTR.com (you can find it here). I was really disappointed when I uploaded it to YouTube and found my video was quite blurry. After doing some research and re-rendering the video with a ton of different settings I gave in a tried a different hosting service, Screencast.com. Without any extra work my video showed up in perfect clarity.
For a screencast clarity and crispness is extremely important and Screencast.com made that obtainable with a lot less fuss than YouTube.
screencast theSUGGESTRWe’ve added a few new features to our site, theSUGGESTR.com
- Improved display of restaurant details. Now you can quickly and easily see the average opinion about the service, food, drinks, quality, etc, of a restaurant.
- Added Cost to our restaurant details. See how expensive a restaurant is before you go!
- User avatars. Now our users can add an avatar to their account so that they can express themselves in ways beyond just their ratings.
Don’t worry we’ve still got a ton of new features coming soon!
If you’ve stumbled on to this page and have no idea what theSUGGESTR.com is, click here to learn more.
theSUGGESTRNow you can keep up to date on the latest things going on over at theSUGGESTR.com by following us on Twitter.
Your Personal Concierge
Jul 24
theSUGGESTR Integrates with OpenTable
theSUGGESTR.com has always focused on giving you personalized suggestions using our unique suggestion algorithm. Now we take things one step further with our partnership with OpenTable. Now after we suggest a great restaurant for you (and just for you), you can quickly and easily book a reservation using the “Make A Reservation” link that will connect you to Open Table. theSUGGESTR.com is now like your own personal concierge, but unlike a real concierge theSUGGESTR.com takes your personal tastes into account when suggestion a place for dinner or drinks!
Take a peek at the Rainbow Room for an example of how we’ve integrated with OpenTable.
New to theSUGGESTR? Click here to learn more.
Local Search personalization reservations suggestions suggestrBeyond Search is Suggestion
Jul 21
Beyond Search is Suggestion
In our previous posts we discussed how the lack of personalization and lack of incentives for a review to be honest and fair, reduced the value of local search reviews by themselves. At theSUGGESTR.com we’ve decided to use a technique called collaborative filtering to provide a more personalized experience by being able to provide personalized suggestions not just search results. Our suggestion engine starts by calculating similarity scores between every pair of users and every pair of businesses. This allows us to ’score’ how similar the taste’s of two users are as well as score how similar two businesses are. These scores are then used in our proprietary algorithm to predict how well our users will like a given business. We believe, as do others, that the future of local search is more of a personalized experience and if you can personalize searches then you begin to enter the realm of suggestion.
Let’s look at a simple example of how this may work. Let’s say User A has rated 5 restaurants in New York, and User B has rated the same 5 restaurants with the SAME SCORE as User A. That would make User A and B have a high similarity score. Now let’s say User A from NY is going to San Francisco for the first time, but User B has been there, theSUGGESTR.com will be able to suggest restaurants to User A based on User B’s rating. Now imagine that process for every combination of users and businesses in our database. The data is combined using our unique algorithm so that we can accurately predict your ratings.
Collaborative Filtering in Action
We realize that our vision of local suggestion will be a marathon not a sprint. We do think we’ve made some great initial steps with features like our similarity meter which allows registered users to quickly see how similar their tastes are with others. Imagine being able to quickly identify which reviews come from people with similar tastes to you.
Also our predictive search allows us to predict how much you’ll enjoy a given business and even explain WHY we’re making the prediction.
We know their are lots of improvements still to be made and we should have some great new features available at theSUGGESTR.com shortly! In the meantime let us know what you think we should do to improve our site.
Local Search Recommendations suggestions theSUGGESTRIn our post yesterday we talked about the lack of personalization in local search and how that is one of the major weaknesses in many local search sites. Another flaw in many local search sites is that many of the reviews come from people with various motives, and little incentive to give reviews that are fair and honest. Think of it like this, what motivates someone to login to a site like Yelp and spend time writing reviews about a restaurant? Well one common reason is to complain about poor service. Another may be to help promote a friend’s business. There are also users who write reviews to boast their presence in the online community. Many people have debated whether or not business reviews are helpful to the readers who read them. Other’s have discussed which sites and formats are more conducive to accurate and valuable reviews.
The fundamental problem with sites like Yelp and Insider Pages (those that are focuses on a social community) is that there is little incentive to be honest about average experiences(which by definition is what most experiences are). To improve status and stature in the community users are almost encouraged to be extreme (either positive or negative) in their reviews. At theSUGGESTR users are encouraged to be honest since their ratings are used in the calculations and predictions that give theSUGGESTR.com a more personal feel. We think encouraging users to honestly and accurately rate businesses by providing them incentive, in the form of more accurate suggestions, is a major advantage for us.
In the next few days we’ll lay out some other reasons why we feel that we offer some features that make theSUGGESTR more useful for user’s looking to find great businesses that they’ll love.
Local Search personalization suggestions suggestr yelpWhat’s Wrong with Local Search?
The local search market has become saturated with sites that basically do the same thing. They allow users to comment on places, give them ratings, sometimes tag them and if your lucky provide additional data that is useful about a local business. While this does generate a ton of content the problem is the quality and accuracy of the content is questionable at best. Often a review will contain many contradicting opinions, and why shouldn’t it, everyone’s tastes and experiences are different. My opinion of a great steak house is probably different than that a vegetarian.
There are lots of reasons why a person may like or dislike a given business, especially restaurants. The majority of the current local search sites don’t provide any personalization when it comes to the searches and results performed by their users. Two users with opposite tastes will get the same results if they enter the same search. Even more troubling is when reviewing the 100’s of reviews posted for some of the most popular business the user is often left to decide if they want to read the one that says that the restaurant is the “best place ever” or the one that says that the “service was horrible.”
Most sites do not provide any way to easily distinguish which user’s reviews are most likely to be shared by you! We believe, as do others, that the future of local search is not really search at all but personalized suggestions.
We’ll lay out our vision for local suggestions in a couple of days.
Local Search Recommendations search market suggestions theSUGGESTRLocal suggestion site theSUGGESTR.com is holding a contest as part of its re-launch that will grant $50.00 worth of Perk Points* to the user who earns the most points between now and August 17th 2008. Points can be earned by just rating places on the site and inviting friends. What’s even better is points earned as part of this contest also apply to theSUGGESTR’s standard Rewards Program.Â
If your not familiar with theSUGGESTR.com click here to Learn More.Â
*Perk Points can be redeemed for a $50 gift card at one of many excellent stores.
contest rewards program suggestion theSUGGESTR win money