1. A method for recommending content in a social network, comprising: logging a set of actions of a user; categorizing the set of actions into interest categories; weighting the interest categories to generate weighted interest categories, the weighting comprising: for a first interest category associated with a first subset of the set of actions: identifying one or more types of actions associated with the first interest category, respective types of actions associated with an action weight, the identifying comprising: identifying a first type of action corresponding to a search action, a second type of action corresponding to a subscribe action, and a third type of action corresponding to a click action, the first type of action, the second type of action and the third type of action associated with the first interest category, the first type of action having a first action weight, the second type of action having a second action weight, and the third type of action having a third action weight; and assigning a first weight to the first interest category based on the one or more types of actions associated with the first interest category and an action weight associated with each of the one or more types of actions; calculating an interest social index for the user as a function of the weighted interest categories; and providing, on a social page associated with the social network, and based on the interest social index, a first indication of a first suggested topic and a first value corresponding to a likelihood of one or more users in the social network engaging the first suggested topic and a second indication of a second suggested topic and a second value corresponding to a likelihood of one or more users in the social network engaging the second suggested topic.