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本文主要讨论自适应性线性检索模型结构中的提问模型。以用户优选的概念作为归纳推理的基础。采用梯度下降算法从一个样本文献集合中推论提问向量
This article focuses on the questioning model in adaptive linear search model structure. The concept of user preferences as the basis for inductive reasoning. Gradient descent algorithm is used to deduce the question vector from a sample document collection