Recommending mobile content by matching similar users
A content and user technology, applied in the field of mobile operating environment, can solve problems such as inappropriate
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[0031] According to one or more aspects and their corresponding disclosure content, each aspect is described in conjunction with specific content recommended for download by the user equipment. The content can include video, audio, image, text, and various media digital formats including braille and other tactile single or multimedia components. The content may also include application software (for example, utilities, games, office productivity, social networks, etc.). The described devices and methods match user preferences and behaviors to uniquely generated user profiles used to enhance the discovery of mobile content. In this way, strangers can turn to content recommendation services, and strangers with similar content interests may become personally familiar people.
[0032] In particular, the recommendation is not based on a simple accumulation of all user behaviors or objective calculations made by network providers. In fact, the users or user groups (to varying degrees...
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