thanks

Great

good

nice

Nice

good

good

Good

Good class, knowledge learned. Below are some problems I personally encountered.

* there are almost no explanations of the quiz/exam answers and some questions in quizzes did not match the course progress. However, before the final quiz, there is a small quiz in advance, you can do small quizzes for unlimited times and it resembles the final quizzes. Maybe the author designed this on purpose for the users to learn by trial and error?

Another way is finish courses of the next week, and then come back to finish the quiz of the previous week.

* some concepts require previous knowledge, otherwise you'll have to Google during the class.

* It might take some time to get used to the speaker's accent for non-English speakers.

* suggest that the instructor could use a touch screen or stylus to illustrate on screen.

* The honor missions are out-dated and requires a lot of de-bugging.

The course provides a nice framework for the learners. The instructor is very knowledgeable and has covered a very wide range of information regarding text retrieval tasks.

Unfortunately, the lab design is not very good - a bit outdated, if not broken at all. I gave 4 stars because I really hope the course can improve that part.

Tips: The quiz is not necessarily easy, but easy to pass, if that's what you care about. However, the nitty-gritty of this course is better comprehended by implementing it on some tasks. That said, find some guide project and try it on, projects like toy recommendation system, toy search engine, etc.

The class content layout is excellent, it gives an overall picture about text retrieve and search engine, also point out the direction of further learning. Professor Zhai teaches excellent too. In lecture, those simple examples help understanding the algorithm very well.

I just hope Professor Zhai can provide more wide or deep class on such topic.

The only drawback is the program assignment is not well maintained. Almost no staff answer questions.

I'm withholding one star mainly because the MeTA programming assignments need to be rewritten. MeTA has undergone a major revision change since this course was created and much of the code provided by the instructors no longer works/compiles against MeTA. Judging from the forum discussions, many students are struggling to get the coding assignments working. Otherwise the lectures and the reading materials were good.

Excellent lecture material with many very interesting concepts. Instructor clearly talks about topics and why they're important. -1 star due to: content being on quizzes before being covered in lecture, compilation errors in the programming assignments, errors in submitting programming assignments, and lack of instructor support/feedback on the discussion forms.

The course is interesting and you can learn a lot. The professor is very knowledgeable in the area of search engines. However the course goes very early into mathematical details without too much context. The programming assignments are great and I would focus more on them as they really show you how the engine works.

The course was detailed and covered at the level I was expecting and hoping for. I would have liked for the transcript of the video to have been proofread more carefully, as I depended on it a LOT. There were many [INAUDIBLE]s and wrongly-transcribed words. Otherwise, this was a worthwhile course.

A good start for the NLP aspirants ! But there are some problems need to be addressed. Such as, some quiz problems are given before they've been discussed. Also, I personally felt a bit problem in understanding the English accent of the Professor. Otherwise, a great course, learnt a lot of things !

Well taught course, although certain topics seemed rushed while others had a long time spent on them. The quizzes were completely messed up though (although I decided not to do the optional programming assignments, based on the discussion forums those have a lot of problems too).

this is a best course if you have interest in information retrieval subject. this course helps me to best understand the concepts of text retrieval. although the field has evolved so much after this course but this course is best for beginners in this field.

For understanding evaluation of search ranking algorithms, and picking up the ideas behind Learning To Rank, this course is great. The only glitch is that some of the quiz questions ask about material from weeks not yet covered!

The videos could not be too longer than they actually are. If this change, could be done, the student or user could have more time to dig into the assignments problems and even read more textbooks related to the main topic.

I have learned a lot of concepts through this course, but at a shallow level. It is a great introduction course to IR. It can be improved by adding more programming tasks for hands-on exercise

I will keep the last star for not using a more cutting edge programming language, e.g. python. MeTa is not really helpful in the business world and that discounts the value of this course.

I found that there were a lot of mathematical function in this course. I need to see the examples of how are those functions applied in the real programming which support the business.

Very good course.

Clear, well structured and explained. I have learned many new things.

I have only missed that the practices have not been updated with other tools: python, R, ...

I'd appreciate Prof.Zhai's lesson design with robust framework. BUT I really can not accept that the mistake that homework putted in wrong week and STILL NOT FIXED AFTER TWO YEARS!