We begin by defining a process as a system which generates information.
Examples are a chemical reactor, a jet fighter, a gas platform, a submarine, a
car, a human heart, and a weather system.
We develop 3 term-based models(Naive tf, log tf, and BM25), unigram language model, and Pointwise
Online AdaGrad approach to select top 100 documents of each query. We use MIN((TP+FN),100) as
denominator when calculating AP. We also perform some methods in preprocessing and running stage to
obtain better MAP, as well less running time of the whole program. 2 rounds of scanning are needed in
our system.
yeyao
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