1. A method comprising: receiving at least one search criteria from a first source; identifying multiple portions of indexed content, each respective portion of indexed content related to at least one characteristic of the search criteria, each respective portion of indexed content referencing metadata; determining a relevance of each respective portion of indexed content to the first source who provided the search criteria, the relevance based on user feedback associated with an online version of the portion of indexed content; ranking the multiple portions of indexed content according to their respective relevance to the first source who provided the search criteria; and creating a search result based on ranking the multiple portions of indexed content.
1. A method comprising: receiving at least one search criteria from a first source; identifying multiple portions of indexed content, each respective portion of indexed content related to at least one characteristic of the search criteria, each respective portion of indexed content referencing metadata; determining a relevance of each respective portion of indexed content to the first source who provided the search criteria, the relevance based on user feedback associated with an online version of the portion of indexed content; ranking the multiple portions of indexed content according to their respective relevance to the first source who provided the search criteria; and creating a search result based on ranking the multiple portions of indexed content. 6. The method as in claim 1 , wherein determining the relevance of each respective portion of indexed content to the first source includes: identifying personal feedback associated with an online version of a first portion of indexed content, the personal feedback created by the first source providing the search criteria; identifying first feedback and second feedback created by at least one different source, the first feedback associated with the online version of the first portion of indexed content, the second feedback associated with an online version of a second portion of indexed content; and upon detecting a similarity of sentiment of the personal feedback and a sentiment of the different source's first feedback, determining the second portion of indexed content is relevant to the first source.