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Index Terms
- Information seeking: convergence of search, recommendations, and advertising
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Reviews
George Popescu
Users seek and obtain information online through search, recommendations, and advertising. This paper aims to explain some mechanisms for presenting user-relevant information. It starts with concise and clear explanations of search, recommendation techniques, and advertising, including how they work, and succinctly describes some improvements of the current technologies. This provides the reader with a better understanding of how relevant information is found. The focus is on the user and how different tools can help the user make good decisions. The authors present relevant examples and novel implementations-for example, Netflix and individual recommendations-and point out interesting details related to other fields of research-for example, social choice theory. The paper includes common evaluation metrics, which leads to a description of convergence and possible solutions for achieving it. The concept of personalization is also explored, together with its advantages and disadvantages from the user's point of view. The presentation of other concepts, such as privacy, user information, and accuracy, helps to provide the reader with a clear view of the facts. Lastly, the CourseRank example demonstrates how students can use this social Web site to review their courses and plan an academic year. Convergence is proposed through a single user interface combining search, recommendations, and advertising. Altogether, the paper is well structured and highly relevant. It will be useful for specialists in artificial intelligence, recommender systems, and human-computer interaction. The general public will also find interesting facts about how search, recommendations, and advertising combine for a unique user experience. Online Computing Reviews Service
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