11. A method, comprising: receiving a plurality of media objects that are captured by an electronic device during a trip session; clustering a plurality of photographs included in the plurality of media objects into a photograph cluster; associating a weight with the photograph cluster based on a number of photos associated with the photograph cluster; determining a place of interest that corresponds to the photograph cluster by comparing one or more first features depicted in the plurality of photographs to one or more second features depicted in known photographs of a plurality of candidate places of interest; auto-generating textual content for the photograph cluster, the auto-generated textual content based at least in part on one or more pre-stored knowledge items that include information about the place of interest; generating a paragraph metadata object for the photograph cluster, the paragraph metadata object including at least one of the plurality of photographs included in the plurality of media objects and the auto-generated textual content; calculating paragraph weights based at least in part on the paragraph metadata objects, the paragraph weights associated with and representing a relative importance of individual ones of the paragraph metadata object to a user of the electronic device; and publishing one of the paragraph metadata object including the at least one photograph and the auto-generated textual content as a blog entry for the place of interest that corresponds to the photograph cluster when the weight associated with the photograph cluster is greater than weights associated with other photograph clusters.
11. A method, comprising: receiving a plurality of media objects that are captured by an electronic device during a trip session; clustering a plurality of photographs included in the plurality of media objects into a photograph cluster; associating a weight with the photograph cluster based on a number of photos associated with the photograph cluster; determining a place of interest that corresponds to the photograph cluster by comparing one or more first features depicted in the plurality of photographs to one or more second features depicted in known photographs of a plurality of candidate places of interest; auto-generating textual content for the photograph cluster, the auto-generated textual content based at least in part on one or more pre-stored knowledge items that include information about the place of interest; generating a paragraph metadata object for the photograph cluster, the paragraph metadata object including at least one of the plurality of photographs included in the plurality of media objects and the auto-generated textual content; calculating paragraph weights based at least in part on the paragraph metadata objects, the paragraph weights associated with and representing a relative importance of individual ones of the paragraph metadata object to a user of the electronic device; and publishing one of the paragraph metadata object including the at least one photograph and the auto-generated textual content as a blog entry for the place of interest that corresponds to the photograph cluster when the weight associated with the photograph cluster is greater than weights associated with other photograph clusters. 13. The method of claim 11 , wherein the affection rating is one of a positive affection rating that indicates a positive user impression of the place of interest, a neutral affection rating that indicates a neutral user impression of the place of interest, or a negative affection rating that indicates a negative user impression of the place of interest.