An approach to search an information in a large and chaotic data base like the Internet is to use a hierarquical index regarding some categorization of the data. As an example, we have the web directories, usually found in search engines. However, this approach may have problems, as the need of visiting too many web pages to find a very accessed information. A way to address this problem is the use of hotlinks, which are hyperlinks added to the web site and used as shortcuts in a search. We studied efficient algorithms to assign hotlinks in web directories, in such a way to minimize the maximum or the average number of accesses to find an information. For the problem of minimizing the maximum number of accesses, we provide an (14/3)-approximation algorithm and an exact polinomial time algorithm based on dynamic programming. On the other hand, for the problem of minimizing the expected number of accesses, we adapted the previous exact algorithm. However, this adapted algorithm is polinomial only for web sites represented by trees with height O(log n). So, we introduce a parameter that allows the user to reduce the execution time under the cost of reducing the solution quality. For this problem of minimizing the expected number of accesses, we also made experiments comparing our algorithm, an integer programming model, and some algorithms proposed by other authors. We introduce pratical changes that improved the performance of our algorithm.