Effective metrics of a dynamic expert recommendation system for web documents and products

Abstract

We introduce a new concept to evaluate Web documents and products through human computer interaction. In the initial stage, evaluation data by general users for Web documents and products are difficult to collect. The citation frequency can be a good measure for document evaluation. Many automatic ranking systems have used this citation system to measure the relative importance of consumer products or documents. However, the automatic citation analysis has a limitation; it does not truly reflect the importance of the varying viewpoints of human evaluation. Therefore, human expert evaluations of Web documents and products are very helpful in finding relevant information in a specific domain, especially in the initial stage. Our contributions are developing the four metrics for finding the closeness between the expert’s evaluation and user’s evaluation. When there is an inadequate data for the general user’s opinion we propose a recommendation system. By using all 4 metrics, the evaluation effectiveness measure for ranking processes is measured. This shows that the system is improving and getting closer to a system based on the general user’s opinion. The current method of ranked retrieval and the resultant presentation methods are inadequate for fulfilling the significant number of queries where users wish to learn about a new topic or retrieve information to facilitate analysis or decision making. In order to meet these user demands, search engines must provide services that serve various kinds of information beyond the traditional lookup. Nowadays, weblogs have become very popular and advances in search technology have paved the way for more novel methods of retrieving information, inferring queries and guidance towards the exact results. The evaluation of weblogs based on Human-Computer interaction is a new method, which has become a popular in the internet survey. Therefore, based on the Human-Computer interaction, human expert evaluations of web d...