An online review is composed of reviewer- and review-related information, which may impact its users simultaneously. However, while there is a growing interest in understanding the information value of online reviews and how they are being processed, the potential interaction effects between different review components (e.g., review text, review pictures and review rating, etc.) have rarely been examined. This study explores the interaction effects on individual perception of helpfulness between review rating and review-related information in the Point of Interest online review context. The author conducted an analytical exercise using actual online reviews of the Great Wall collected from TripAdvisor.com to understand the interaction effects in real, potentially complex settings. The author also proposed a systematic approach that first constructs topics to classify helpful reviews and then extract the sentences in the helpful reviews into summary. Findings showed that review rating and review text interact with each other, and individual perception of helpful online reviews varies with the interactions. The review rating as a peripheral cue and reviews' pictorial, semantic and linguistic features as central cues can predict the helpfulness of reviews. Human behavior results from the collective action of stimuli. Besides, rating significantly and fully mediates review text on readers' perceived helpfulness. However, the study results demonstrated that readability does not significantly affect review helpfulness. Finally, the author discusses the implications for the holistic perception of online reviews and interactive roles of review components as well as limitations and future research directions.