The cold-start problem in spam review detection is a significant challenge referring to identifying the authenticity of the first review posted by new users. For generating more sensitive features to identify new reviews, existing methods mainly leverage text-similarity of review to find relevant features to approximate the incomplete behavior features of new reviews. However, they over-rely on the text information of new reviews while ignoring the mutual behavioral information in the review system, leading to a decrease in the sensitivity of f...
