Whether their works can transform bulk sms service more consumer behavior depends on the quality of their works, but the most basic appeal is - let people see them, right? The current mainstream distribution forms are: (1) User behavior superposition of cold start This approach is to weight and allocate more traffic exposure to the content that continues to gain positive user behavior. For example, every bulk sms service time a work is published, it will be initially pushed to 20 users. If one of the 20 people likes it, it will continue to expand the traffic strategy and push it to more people until no one interacts or the time limit of the work expires.
To a certain extent, this approach relies on the practice of user "voting" to Bulk Sms Service screen out high-quality works and allocate more traffic. (2) Based on conventional recommendation algorithm (CB+CF) When the content and user groups of the platform are wide enough and rich enough, and you don’t want to bury some niche and vertical content creation, then the distribution of crowd attributes is carried out according to the attributes bulk sms service and tags of the content, which avoids the embarrassment of method 1 to a certain extent. Just voted for some users who don't like this content at all.
After the user goals are accurately determined bulk sms service through content attributes to a certain extent, traffic distribution is further combined with the quality and behavior of interactive users. (3) High-quality screening, quantity-controlled output, and centralized exposure For example, is of this type. After editing and reviewing, the content is pushed to the main information flow, and this main information flow does not make recommendations based on algorithmic bulk sms service crowd differentiation, because the priority of "vertical positioning + high-quality review results"