10. A computer system, comprising: one or more processing units; and memory storing one or more programs to be executed by the one or more processing units, the one or more programs comprising instructions for: performing an automated textual analysis on one or more predefined websites to identify a plurality of reference web pages, further including determining content information and one or more corresponding search queries for each reference web page wherein a reference web page is a web page whose content information provides an accurate description of a particular content entity; for a respective content entity: identifying a subset of the reference web pages associated with the respective content entity and the corresponding search queries based on the content information of the reference web pages and query terms of the corresponding search queries; and inferring a popularity ranking for the respective content entity based on one or more server and/or search logs of user interactions with the identified subset of reference web pages and the corresponding search queries; and in response to a user search request related to one or more content entities, selecting at least a subset of the content entities for display to an end user in accordance with their respective popularity rankings.
16. The computer system of claim 10 , wherein inferring a popularity ranking for the respective content entity further includes: for a respective reference web page in the identified subset: determining a user visit ranking based on a number of user visits to the reference web page within a predefined time interval; and determining a search query ranking based on a number of the corresponding search queries being submitted to a search engine within the predefined time interval; and aggregating the user visit rankings and the search query rankings of the identified subset of reference web pages into a weighted popularity ranking for the respective content entity.