By: Yasmen Refaat.
Newer web applications trust their users, invite them to interact, connect them with others, gain early feedback from them, and then use the collected information to constantly improve the application.
Users are expressing themselves. This expression may be in the form of sharing their opinions on a product or a service through reviews or comments; through sharing and tagging content; through participation in an online community; or by contributing new content.
This increased user interaction and participation gives rise to data that can be converted into intelligence in your application. The use of collective intelligence to personalize a site for a user, to aid him in searching and making decisions, and to make the application more sticky are cherished goals that web applications try to fulfill.
More formally, collective intelligence (CI) simply and concisely means To effectively use the information provided by others to improve one’s application.
What is collective intelligence?
When a group of individuals collaborate or compete with each other, intelligence or behavior that otherwise didn’t exist suddenly emerges; this is commonly known as collective intelligence. The actions or influence of a few individuals slowly spread across the community until the actions become the norm for the community.
YouTube Example:
In October 2006, Google bought YouTube for $1.65 billion. In its 20 months of existence, YouTube had grown to be one of the busiest sites on the Internet, dishing out 100 million video (As of September 2006) views a day. It ramped from zero to more than 20 million unique user visits a day, with mainly viral marketing—spread from person to person.
In YouTube’s case, each time a user uploaded a new video, she was easily able to invite others to view this video. As those others viewed this video, other related videos popped up as recommendations, keeping the user further engaged. Ultimately, many of these viewers also became submitters and uploaded their own videos as well. As the number of videos increased, the site became more and more attractive for new users to visit.
Harnessing information from users improves the perceived value of the application to both current and prospective users. This improved value will not only encourage current users to interact more, but will also attract new users to the application. The value of the application further improves as new users interact with it and contribute more content. This forms a self-reinforcing feedback loop, commonly known as a network effect, which enables wider adoption of the service.
CI in Web Applications
Collective intelligence of users in essence is
■ The intelligence that’s extracted out from the collective set of interactions and contributions made by your users.
■ The use of this intelligence to act as a filter for what’s valuable in your application for a user—This filter takes into account a user’s preferences and interactions to provide relevant information to the user.
This filter could be the simple influence that collective user information has on a user—perhaps a rating or a review written about a product, as shown in figure 1—or it may be more involved—building models to recommend personalized content to a user.
As shown in figure 2, there are three things that need to happen to apply collective intelligence in your application. You need to:
1- Allow users to interact with your site and with each other, learning about each user through their interactions and contributions.
2- Aggregate what you learn about your users and their contributions using some useful models.
3- Leverage those models to recommend relevant content to a user.
Benefits of Collective Intelligence
Applying collective intelligence to your application impacts it in the following manner:
■ Higher retention rates —The more users interact with the application, the stickier it gets for them, and the higher the probability that they’ll become repeat visitors.
■ Greater opportunities to market to the user—The greater the number of interactions, the greater the number of pages visited by the user, which increases the opportunities to market to or communicate with the user.
■ Higher probability of a user completing a transaction and finding information of interest —The more contextually relevant information that a user finds, the better the chances that he’ll have the information he needs to complete the transaction or find content of interest. This leads to higher click-through and conversion rates for your advertisements.
■ Boosting search engine rankings —The more users participate and contribute content, the more content is available in your application and indexed by search engines. This could boost your search engine ranking and make it easier for others to find your application.
References:
1. Satnam Alag, “Collective Intelligence In Action”. Manning Publications Co., 1st Ed., 2009.
Associate Software Engeneer, at Symbyo Technologies. Yasmen's experience includes analysing, designing, & developing larg scale comunity based websites.Contact with Yasmen at: