Click-through rate prediction in online advertising: A literature review

•We make a comprehensive literature review on state-of-the-art and latest CTR prediction research, with a special focus on modeling frameworks.•We give a classification of state-of-the-art CTR prediction models in the extant literature, and present modeling frameworks, advantages and disadvantages, and implementations in CTR prediction.•We summarize CTR prediction models with respect to the complexity and the order of feature interactions, and performance evaluation on various datasets.•We identify challenges and interesting perspectives worthy of further exploration.