In today's era of rapid digitization and information technology advancement, web searching and web data mining stand at the core of the technological progress of numerous web-based applications, serving as the main methods of extracting valuable information from large amounts of network data. The models, algorithms, and techniques of web searching and web data mining are constantly and rapidly evolving, leading to various autonomous, proactive, content-exploring, self-learning, socially collaborative, and location-aware web applications. This Special Issue, "New Horizons in Web Search, Web Data Mining, and Web-Based Applications", addresses existing knowledge gaps and aids in the advanced development of web searching, web data mining, and web-based applications globally. It consists of ten peer-reviewed papers covering various subjects and applications related to web intelligence.

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