Electronic content ranking based on distribution and consumption
Distribution of content items provided by content producer computers to content consumer computers via a computer network is controlled and indications of different interactions with content items contained in messages distributed to content consumer computers are tracked. The different interactions with content items occur at the content consumer computers. Content items are indexed and ranked indications of at least some indexed content items are output in response to search queries. Tracking indications of different interactions with indexed content items occurs at the content consumer computers. Indications of different interactions with content items contained in messages distributed to content consumer computers and with indexed content items outputted in response to search queries are quantified. Content items are ranked based on the indications of different interactions.
1. A content distribution system comprising:
one or more processors configured to:
control distribution of content items provided by content producer computers to content consumer computers via messages communicated over a computer network;
track indications of different interactions with content items contained in the messages, the different interactions with content items occurring at the content consumer computers;
index content items and output ranked indications of at least some indexed content items in response to search queries, and track indications of different interactions with indexed content items occurring at the content consumer computers; and
rank the content items based on the received indications of different interactions with content items occurring at the content consumer computers and further based on an influence factor specific to a content consumer at a respective content consumer computer, wherein a high influence factor increases the rank.
2. The system of claim 1 , wherein the one or more processors are further configured to calculate ranks for the content items based on weightings or adjustment values for the different interactions with the content items.
3. The system of claim 2 , wherein the one or more processors are further configured to calculate ranks for content producers at content producer computers based on ranks of associated distributions controlled by the one or more processors, and to calculate ranks for distributions controlled by the one or more processors based on ranks of content items contained in the distributions.
4. The system of claim 3 , wherein the one or more processors are further configured to calculate ranks for content consumers at the content consumer computers based on ranks of content producers at the content producer computers, the content consumers and content producers being associated via the distributions.
5. The system of claim 4 , wherein the one or more processors are further configured to calculate ranks for distributions controlled by the one or more processors based on ranks of content items contained in the distributions and damping factors based on ages of content items.
6. The system of claim 1 , wherein the one or more processors are further configured to assign a plurality of ranks to content items for a plurality of different keywords and a plurality of different categories.
7. A method of content distribution with ranking, the method comprising:
controlling distribution of content items provided by content producer computers to content consumer computers via a computer network;
tracking indications of different interactions with content items contained in messages distributed to content consumer computers, the different interactions with content items occurring at the content consumer computers;
indexing content items and outputting ranked indications of at least some indexed content items in response to search queries, and tracking indications of different interactions with indexed content items occurring at the content consumer computers; and
receiving indications of different interactions with content items contained in messages distributed to content consumer computers and with indexed content items outputted in response to search queries, and ranking the content items based on the received indications of different interactions and further based on an influence factor specific to a content consumer at a respective content consumer computer, wherein a high influence factor increases the rank.
8. The method of claim 7 , further comprising calculating ranks for the content items based on weightings or adjustment values for the different interactions with the content items.
9. The method of claim 8 , further comprising calculating ranks for content producers at content producer computers based on ranks of associated distributions controlled by a content subscription manager, and calculating ranks for distributions controlled by the content subscription manager based on ranks of content items contained in the distributions.
10. The method of claim 9 , further comprising calculating ranks for content consumers at the content consumer computers based on ranks of content producers at the content producer computers, the content consumers and content producers being associated via the distributions.
11. The method of claim 10 , further comprising calculating ranks for distributions controlled by the content subscription manager based on ranks of content items contained in the distributions and damping factors based on ages of content items.
12. The method of claim 7 , further comprising assigning a plurality of ranks to content items for a plurality of different keywords and a plurality of different categories.