1. A unified attractiveness prediction method, comprising: receiving a plurality of videos; extracting at least one of metadata and view data from each of the plurality of received videos, wherein the metadata is information for describing video contents, and the view data is a total number of users who watch the video; based on the extracted view data, performing a Hawkes process for the received videos associated with the view data to infer a plurality of parameters of the received videos; based on the plurality of obtained parameters and features converted from the extracted metadata, creating a linear regression model and learning feature weight parameters from the created linear regression model; obtaining potential view amounts of the plurality of received videos; based on the potential view amounts, calculating impact factor scores of the plurality of received videos, each impact factor score including a numerical score for indicating a degree of effectiveness of a corresponding video; and based on the calculated impact factor scores, providing a video with a highest impact factor score.