Article by Ajax
Professional food critics have always been giving their recommendations and ratings for restaurants for a long time now. But, now with Web 2.0 driven by the wisdom of crowds, we’ve begun to trust our friends and peers in making our next dining decision.
Today’s Web 2.0 world is all about user generated content, which sometimes drives editorial content. When people visit new or familiar restaurants and are extremely impressed with the food, service and ambience; they want to talk about it. They write on blogs and review sites to share it with netizens. Also, if something’s really disappointing, they write about that too. These users’ comments are valued most by netizens. This collection of professional & individual user reviews aggregates to be the community opinion, i.e., the wisdom of crowds.
Searches are getting simpler for diners & foodies as they can find out what others are saying about a restaurant before they choose to eat there. With the web full of restaurant recommendations and reviews based on the diner’s experience – hunting for restaurant reviews has surely become the first step while choosing a restaurant. Restaurant search engines like BooRah have an algorithm that captures this wisdom of crowds to bring it back to the users.
With user-generated reviews, people can make an informed decision. Say you read ten reviews about a restaurant, of which seven are very good and only three user reviewers show dissatisfaction; it still assures that you are more than likely to find good food. BooRah’s semantic scoring engine analyses what people have written and generates specific scores for food, service and ambience from their sentiments.
A diner reads reviews and chooses a restaurant. And whatever the diner experiences in the restaurant’s food, service and ambience is back on the net as yet another review. This wisdom of crowds directs netizens to the perfect restaurant recommendations. The restaurant search engine encourages users to write their own review, rate restaurants and submit updated information about local restaurants. In this way, local restaurant patrons help to keep the information current and can post their opinions about their dining experiences.
Many web sites offer restaurant information, online reservations and reviews, but BooRah, the vertical search engine searches the Web and compiles all reviews that have been written about each restaurant, creates a summary review and rating, and allows users to easily access the restaurant reviews. These search engines are tech platforms built on user generated content, and they add a level of user-friendliness along with aggregating more content from across the Web.
The growing search engine technology is also helping local business owners track their reviews reputation online and capitalize on the growing trend of user-generated restaurant recommendations. It automatically summarizes a collection of online reviews from bloggers, professional critics and consumers, and allows consumers to search restaurants based on their personal preferences. They spruce up the search for good restaurants by capturing the community vibe and social essence of existing online groups, and comparing these results to an individual’s search criteria; thereby delivering unsurpassed relevance with the broadest community reach.
When there are plenty of restaurants to choose from, one can rely on the wisdom of crowds aggregated by search engines like BooRah to find local restaurants; based on their preferences and what previous visitors have to say about these restaurants.
About the Author
Interested in restaurant review guides and restaurant search engines.