Formalized search engine evaluation has been ongoing for many years. For example, the Text REtrieval Conference (TREC) was started in 1992 to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies. Most of today's commercial search engines include technology first developed in TREC.
In 1997, a Japanese counterpart of TREC was launched, called National Institute of Informatics Test Collection for IR Systems (NTCIR). NTCIR conducts a series of evaluation workshops for research in information retrieval, question answering, text summarization, etc. A European series of workshops called the Cross Language Evaluation Forum (CLEF) was started in 2001 to aid research in multilingual information access. In 2002, the Initiative for the Evaluation of XML Retrieval (INEX) was established for the evaluation of content-oriented XML retrieval systems.
Precision and recall have been two of the traditional performance measures for evaluating information retrieval systems. Precision is the fraction of the retrieved result documents that are relevant to the user's information need. Recall is defined as the fraction of relevant documents in the entire collection that are returned as result documents.
Although the workshops and publicly available test collections used for search engine testing and evaluation have provided substantial insights into how information is managed and retrieved, the field has only scratched the surface of the challenges people and organizations face in finding, managing, and, using information now that so much information is available.Scientific data about how people use the information tools available to them today is still incomplete because experimental research methodologies haven’t been able to keep up with the rapid pace of change. Many challenges, such as contextualized search, personal information management, information integration, and task support, still need to be addressed.

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