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A Review on the Search Engine Result Page (SERP) |
Wu Dan, Tang Yuan |
School of Information Management, Wuhan University, Wuhan 430072 |
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Abstract This paper uses synthesis methods to examine foreign conference and journal articles that study search engine result page (SERP), and analyzes the research progress in this field. With respect to the research available on the layout design of SERPs, the results show that since the modern search engine aggregates the various types of information resources, the SERP is vertical and diversified in nature, and the embedded elements of the SERP affect the user’s satisfaction, attention, experience and evaluation of the SERP; on the other hand, using user-behavior data that includes eye movement, cursor movement, gestures, acoustics and other interactive data, it is possible to analyze the user-fixation areas and attention-distribution characteristics of the SERP to establish a user-attention prediction model, and to predict user intentions, attention, and the results of bias. Future directions mentioned in the literature include SERP layout design research extending to voice interaction, social networking, and other related fields, as well as more comprehensive interactive data support for user-seeking behavior modeling and attention prediction.
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Received: 16 June 2017
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