A collaborative search engine is a search engine whose results are the fruit of collaboration between human users .
The results of a search can be modified by users or influenced through various systems such as votes, managing favorites, etc.
The collaborative engine or social search exists thanks to the willingness of users to give and share their views with the rest of the community by leaving comments, bookmarks, making the Page Ranking or noting , giving his review the information.
In 2004 – 2005, the concept of collaborative engine made its appearance in Google with Google ‘s PageRank . But it was in 2008 that a multitude of websites and search engines have adopted the collaborative engine: Eurekster, Yahoo Answers, Ask.com or Google Co-Op, but Wikipedia or YouTube for example.
Developed in parallel algorithmic engines that we know, both types are important and complementary. However, there is a risk of subjectivity that different engines will be fixed before users really have confidence in the cooperative answers.
Fraud and spam, as well as the quality of the answers are at the heart of concerns for cooperative search. It is important to develop a mechanism that determines the authority, value and reliability of human experts at the origin of this information.
Relevance improved because each outcome was chosen by users ;
Creating a trusted network by providing information on the quality of the results;
Human judgment can compensate the lack of qualitative judgment of a computer ;
The results are constantly updated according to the context and update information.