Reputation within a Social Network

I had the pleasure this morning to meet with one of the founders of Circos. In one of my earlier blogs I classified Circos in the same category as Kango. After meeting with Mario Jobbe, it became clear that Circos has a different spin on the semantic search space. Circos has launched a preview which focuses on the travel industry, in particular hotel search, but the company plans to enter other non-travel segments as they grow. One interesting feature that allows the user to look at the profile of a given author at a travel site such as Trip Advisor or Yelp!. By graphically showing the key attributes evaluated by the author of the comment, the user can get a sense of the relative frequency and reputation of the given author. This is an important spin on the semantic search approach recognizing that the opinions of the more trusted authors play a role in the value of their comments. This is just touching the surface of an important social networking dynamic that mirrors real world social networks, reputation. Suppliers have continued to express concern that review sites only contain very positive or very negative comments representing the two ends of the bell curve. Understanding the relative reputation of the author within a given site such as Trip Advisor is an important a feature easily determined by clicking on the author's name. Circos carries this one step further by aggregating 500 review sources into a single search response and thus allowing the user to evaluate the author across multiple entries posted on different sites. As review sites continue to mature, the value of a particular review can be impacted by the reputation of the author.

Circos debuts at Demo 2008 - a Kango competitor

Demo 2008 is the annual event where start-ups get to do a brief pitch to potential investors. Circos is a new qualitative search engine:

According Tech Crunch:

"Circos most like Kango, which has also taken on the task of categorizing hotels based on user reviews. VibeAgent also has a search engine for its own site that will search hotels based on qualities.

While Kango auto-generates tags after pouring through user reviews, Circo lets users search for any qualities they’re interested in. The engine then grades and ranks the results by each quality on an “A” through “F” scale based on how well the description fits for reviewers. For example, a hotel reviewers feel is spacious would rate highly if searching for openness, but poorly if you’re looking for a tiny room.

As with most search engines, Circos’ real test will be whether its application draws users away from other hotel and restaurant sites with less sophisticated search engines. Currently there are a bunch competing in the space. However, Circos says their technology can easily be extended to other categories since their algorithm does all the tough work of pulling the most relevant qualities from reviews. If hotels and restaurants don’t appeal, another category may hold their home run."

This announcement demonstrates the unfilled market need for more qualitative search results. The key to the success of new start-ups such as Circos or Kango will be measured on their ability to become the first stop for qualitative travel search. This will require not only a great product (producing results that better match a user's search descriptions) but creating enough of a brand buzz to draw traffic from user generated review sites such as Trip Advisor or IgoUgo, not an impossible task, but one that will require both paid promotion as well as successful viral marketing effort. These companies both sit in the planning part of the travel research and buying process and thus can benefit from referral fees paid by OTAs and suppliers. Semantic search is an important area to watch for the online travel industry.