WEEK 7 READING NOTES

"This work inspires several future directions. First, we can study a more principled way to model multiple negative models and use these multiple negative models to conduct constrained query expansion, for example, avoiding terms which are in negative models. Second, we are interested in a learning framework which can utilize both a little positive information (original queries) and a certain
amount of negative information to learn a ranking function to help dif cult queries. Third, queries are dif cult due to different reasons. Identifying these reasons and customizing negative feedback strategies would be much worth studying."

Collecting feedback is a very important step during the evaluation. According to those feedback, developers could get the direct ideas from users. Those ideas could help the developing department focus more on users' requirements than areas that developers thought important but users did not. Positive feedbacks always highlight the advantages of the system. However, frome negative feedbacks, analyzers could get better known about users' opinions. That is why the negative feeadback based model could be more useful than positive based model. By comparing all the negative feedback through negative model, developers could get an overview about the disadvantages of the system. Thus, further development of negative model is needed.