论文心得
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1. 文章的Related Work部分值得借鉴
2. 文章的中心：
The main goal of this work is to develop a model for identification of the user’s interests for a Web search engine, using the user interactions stored in the query log files of the system.
3. 文章采用的两个算法：
SVM 结合Error-Correcting Output Coding 来处理多类问题
PLSA(Probabilistic Latent Semantic Analysis)
4. 把query量化成vector 的方法
Each query was represented as a vector of terms that appeared in the documents giving an answer to the query |
