Abstract: Discussion threads may be ranked based a factor other than a time since a most recent post of the discussion thread. For example, discussion threads may be ranked based on a likelihood of each discussion thread being helpful to a broad range of users and/or based on how likely each discussion thread is to draw users to participate in the respective discussion thread.

Abstract: Discussion threads may be ranked based a factor other than a time since a most recent post of the discussion thread. Discussion threads may be ranked based on a likelihood of each discussion thread being helpful to a broad range of users and/or based on how likely each discussion thread is to draw users to participate in the respective discussion thread.

Abstract: Discussion threads may be ranked based a factor other than a time since a most recent post of the discussion thread. For example, discussion threads may be ranked based on a likelihood of each discussion thread being helpful to a broad range of users and/or based on how likely each discussion thread is to draw users to participate in the respective discussion thread.

Abstract: The top rated products in a product category are identified by computing a score for each product in the category. The score is computed by calculating a time decay factor for each product category. The time decay factor is utilized to decay the ratings of each product as a function of time. A relevance value is also computed for each product. The relevance value is utilized to modify the ratings for each product in view of the recency of the ratings. The score may be computed for each product using the ratings for the product, the computed time decay factor, and/or the relevance value. The computed scores are utilized to rank the products in the product category.

Abstract: Techniques are described for assessing users who provide content, such as based on the provided content and/or on aspects of how/when the content is provided. In at least some situations, the users being assessed are author users who create some or all of the content that they provide, while in other situations users may provide other types of content (e.g., content that is identified and/or selected by the users, but not created by the users). Assessment of the content-providing users may be performed in various manners, such as to generate one or more user contribution scores or other user contribution ratings for some or all such users, such as to reflect a combination of multiple factors (e.g., a quantity of pieces of content provided by a user, a recency of providing some or all of the content pieces, an assessed quality of the provided content pieces, etc.).