1. A method for identifying and presenting a plurality of recommendation levels for a plurality of recommended electronic books, the method comprising: determining and storing a plurality of reading behaviors associated with a plurality of electronic books; receiving at least one electronic book search request associated with the plurality of electronic books; identifying the plurality of recommended electronic books based on the received at least one electronic book search request; identifying a plurality of topics associated with the identified plurality of recommended electronic books, wherein each topic associated with the identified plurality of topics are associated with at least one chapter and at least one section of the identified plurality of recommended books; scoring and ranking the identified plurality of topics based on the determined and stored plurality of reading behaviors associated with the identified plurality of topics; determining the plurality of recommendation levels for the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, the determined and stored plurality of reading behaviors, and the received at least one electronic book search request; and generating and presenting a plurality of topic comparisons and a plurality of ranked combinations of recommendations for the identified plurality of recommended electronic books, wherein generating and presenting the plurality of topic comparisons comprises comparing a plurality of overlapping topics associated with the identified plurality of recommended electronic books, and wherein generating and presenting the plurality of ranked combinations of recommendations further comprises selecting one or more combinations of the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, and ranking the selected one or more combinations per topic.
1. A method for identifying and presenting a plurality of recommendation levels for a plurality of recommended electronic books, the method comprising: determining and storing a plurality of reading behaviors associated with a plurality of electronic books; receiving at least one electronic book search request associated with the plurality of electronic books; identifying the plurality of recommended electronic books based on the received at least one electronic book search request; identifying a plurality of topics associated with the identified plurality of recommended electronic books, wherein each topic associated with the identified plurality of topics are associated with at least one chapter and at least one section of the identified plurality of recommended books; scoring and ranking the identified plurality of topics based on the determined and stored plurality of reading behaviors associated with the identified plurality of topics; determining the plurality of recommendation levels for the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, the determined and stored plurality of reading behaviors, and the received at least one electronic book search request; and generating and presenting a plurality of topic comparisons and a plurality of ranked combinations of recommendations for the identified plurality of recommended electronic books, wherein generating and presenting the plurality of topic comparisons comprises comparing a plurality of overlapping topics associated with the identified plurality of recommended electronic books, and wherein generating and presenting the plurality of ranked combinations of recommendations further comprises selecting one or more combinations of the identified plurality of recommended electronic books based on the scored and ranked identified plurality of topics, and ranking the selected one or more combinations per topic. 4. The method of claim 1 , wherein presenting a plurality of topic comparisons further comprises presenting at least one of a plurality of heat maps, a plurality of Venn diagrams, and a plurality of ranked combinations of recommendations.