Utilizing a crowd source viewing behavior by context to recommend a viewing order to a user. A set of users accessing content for viewing is monitored to capture an ordered history of viewing for each user. The ordered history of viewing is analyzed to determine a context for each user and stores the context and ordered history of viewing in a repository. The ordered history of viewing from the users being monitored is then aggregated based on the determined context. A context for a new user is identified and the new user is provided with aggregated content in a viewing order defined by the identified context based on aggregated order history of monitored users.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of utilizing crowd source viewing behavior by context to recommend a viewing order to a user comprising the steps of: a computer monitoring a set of users accessing content for viewing to capture an ordered history of viewing for each user; the computer analyzing the ordered history of viewing to determine a context for each user and storing the context and ordered history of viewing in a repository; the computer aggregating the ordered history of viewing from the users being monitored based on the determined context; the computer identifying a context for a new user; and the computer providing the new user with aggregated content in a viewing order defined by the identified context based on aggregated order history of monitored users. 2. The method of claim 1, wherein the context is identified through taxonomy analysis. 3. The method of claim 1, wherein the analysis is determined by a generalized linear regression model. 4. The method of claim 1, wherein the content being viewed by users during monitoring is timestamped. 5. The method of claim 1, further comprising the computer receiving a context perspective of a user relative to the content being viewed. 6. The method of claim 5, wherein the context perspective comprises a plurality of topics and is alterable based on content viewed. 7. The method of claim 1, further comprising the step of monitoring the viewing content of the new user from the aggregated order history. 8. A computer program product for utilizing crowd source viewing behavior by context to recommend a viewing order to a user comprising a computer comprising at least one processor, one or more memories, one or more computer readable storage media, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the computer to perform a method comprising: monitoring, by the computer, a set of users accessing content for viewing to capture an ordered history of viewing for each user; analyzing, by the computer, the ordered history of viewing to determine a context for each user and storing the context and ordered history of viewing in a repository; aggregating, by the computer, the ordered history of viewing from the users being monitored based on the determined context; identifying, by the computer, a context for a new user; and providing, by the computer, the new user with aggregated content in a viewing order defined by the identified context based on aggregated order history of monitored users. 9. The computer program product of claim 8, wherein the context is identified through taxonomy analysis. 10. The computer program product of claim 8, wherein the analysis is determined by a generalized linear regression model. 11. The computer program product of claim 8, wherein the content being viewed by users during monitoring is timestamped. 12. The computer program product of claim 8, further comprising receiving, by a computer, a context perspective of a user relative to the content being viewed for each of the users. 13. The computer program product of claim 12, wherein the context perspective comprises a plurality of topics and is alterable based on content viewed. 14. The computer program product of claim 8, further comprising the program instructions of monitoring, by the computer, the viewing content of the new user from the aggregated order history. 15. A computer system for utilizing crowd source viewing behavior by context to recommend a viewing order to a user comprising a computer comprising at least one processor, one or more memories, one or more computer readable storage media having program instructions executable by the computer to perform the program instructions comprising: monitoring, by the computer, a set of users accessing content for viewing to capture an ordered history of viewing for each user; analyzing, by the computer, the ordered history of viewing to determine a context for each user and storing the context and ordered history of viewing in a repository; aggregating, by the computer, the ordered history of viewing from the users being monitored based on the determined context; identifying, by the computer, a context for a new user; and providing, by the computer, the new user with aggregated content in a viewing order defined by the identified context based on aggregated order history of monitored users. 16. The computer system of claim 15, wherein the context is identified through taxonomy analysis. 17. The computer system of claim 15, wherein the analysis is determined by a generalized linear regression model. 18. The computer system of claim 15, wherein the content being viewed by users during monitoring is timestamped. 19. The computer system of claim 8, further comprising receiving, by a computer, a context perspective of a user comprising a plurality of topic relative to the content being viewed for each of the users, whereby the context perspective is alterable based on content viewed. 20. The computer system of claim 15, further comprising the program instructions of monitoring, by the computer, the viewing content of the new user from the aggregated order history.