Nowadays, searching for celebrities and experts information on the web is the most common activity done by most of the users. When a query is given for person search, it returns a set of web pages related to the different personalities of given name. For such type of search jobs of finding the web page in which user is interested is left on the user. There are many celebrities and experts of different fields which may have been referred by not only their real names but also by their alias names on the web. Aliases play important role in information retrieval to retrieve complete information about a real name from the web, as some of the web pages of the person may also be referred by his nicknames. The alias names for a personal name are extracted from the previously proposed alias extraction method. In information retrieval, the ADAONA search engine automatically expands the search query on a person name from his aliases for complete information retrieval thereby improving recall in the task of relation detection and achieving a significant mean reciprocal rank (MRR) of the search engine. For further more improvement on recall and MRR from the previously proposed methods, the proposed method will order the aliases based on their associations with the name using the definition of anchor texts-based co-occurrences between name and aliases in order to help the search engine tag the aliases according to the order of associations. The order between associations will automatically be discovered by creating an anchor texts-based co-occurrence graph between name and aliases.