  Nowadays, according to the increasingly increasing information, the
importance of its presentation is also increasing. The internet has become one
of the main sources of information for users and their favorite topics. It also
provides access to more information. Understanding this information is very
important for providing the best set of information resources for users.
Content providers now need a precise and efficient way to retrieve news with
the least human help. Data mining has led to the emergence of new methods for
detecting related and unrelated documents. Although the conceptual relationship
between documents may be negligible, it is important to provide useful
information and relevant content to users. In this paper, a new approach based
on the Combination of Features (CoF) for information retrieval operations is
introduced. Along with introducing this new approach, we proposed a dataset by
identifying the most commonly used keywords in documents and using the most
appropriate documents to help them with the abundance of vocabulary. Then,
using the proposed approach, techniques of text categorization, evaluation
criteria and ranking algorithms, the data were analyzed and examined. The
evaluation results show that using the combination of features approach
improves the quality and effects on efficient ranking.
