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Some Artificial Intelligence Approaches to Textual Information Retrieval

机译:一些人工智能涉及文本信息检索

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The ever-increasing need for good information retrieval is seen in the spread of electronic information in a variety of forms, including text, nonprint media (e.g., images, sound), multimedia, and web pages. Issues such as cross-language retrieval and recommender systems have come up of late. The use of some artificial intelligence methodologies, be it fuzzy set theory, genetic algorithms, neural nets, or data mining (including rough sets) has been suggested for improving information retrieval performance. A survey of some of these approaches for information retrieval is presented.
机译:在各种形式的电子信息传播中,包括文本,诺印刷媒体(例如,图像,声音),多媒体和网页,可以在电子信息的传播中看到不断增加的需求。跨语言检索和推荐系统等问题已迟到。已经建议使用一些人工智能方法,成为IT模糊集理论,遗传算法,神经网络,或数据挖掘(包括粗糙集)以提高信息检索性能。提出了对一些信息检索方法中的一些调查。

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