일리노이대학교 어버너-섐페인캠퍼스의 Text Retrieval and Search Engines 학습자 리뷰 및 피드백

very good course! teach not only knowledge but also how to do research!

amazing classes

enlightening and interesting

Some quizes were from different weeks. Forum questions are often left unsolved.

Some mistakes in subtitle. and it is better to break down the long videos into smaller sections, illustrate the concepts with more graphs,picture and animation.

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.

Usefull course with lack of support.

Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.

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!

Great at theory and concept explanation... but just few examples and zero programming applications.

Content is very good. Huge bugs in subtitles though.

G

The explanation is detailed and clear. But the missing star is because I hoped the course would have programming assignments using popular language as python.

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.

Good with concepts.

Some problems about program assignments and quiz.

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.

Good survey of techniques

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 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.

This course is really great but the programming assignments need to be updated.

More programming assignments would have helped understanding the topics covered in the course better.

I wish it was a bit more concrete course with practical examples.

very great course but , the programing language was C++ intead of Python :(

Very Informative, hope to give more examples

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