Name: [Coursera] Recommender Systems (University of Minnesota) (recsys)
Creator: University of Minnesota
License: https://academictorrents.com/nolicensespecified

Name	DL	Torrents	Total Size
Video Lectures [edit]	RSS CSV	155	727.63GB	3019	0
Lectures [edit]	RSS CSV	10	473.11GB	375	0

recsys-001 (194 files)

01_Module_1_Week_1/01_Video_1.1_-_Introduction_to_Recommender_Systems_38-22.mp4	46.04MB
01_Module_1_Week_1/01_Video_1.1_-_Introduction_to_Recommender_Systems_38-22.pdf	2.42MB
01_Module_1_Week_1/01_Video_1.1_-_Introduction_to_Recommender_Systems_38-22.srt	52.64kB
01_Module_1_Week_1/01_Video_1.1_-_Introduction_to_Recommender_Systems_38-22.txt	32.10kB
01_Module_1_Week_1/02_Video_1.2_-_Welcome_to_the_Course_24-15.mp4	30.23MB
01_Module_1_Week_1/02_Video_1.2_-_Welcome_to_the_Course_24-15.pdf	116.60kB
01_Module_1_Week_1/02_Video_1.2_-_Welcome_to_the_Course_24-15.srt	34.19kB
01_Module_1_Week_1/02_Video_1.2_-_Welcome_to_the_Course_24-15.txt	20.93kB
01_Module_1_Week_1/03_Video_1.3a_-_Software_Environment_6-47.mp4	8.95MB
01_Module_1_Week_1/03_Video_1.3a_-_Software_Environment_6-47.pdf	50.18kB
01_Module_1_Week_1/03_Video_1.3a_-_Software_Environment_6-47.srt	8.23kB
01_Module_1_Week_1/03_Video_1.3a_-_Software_Environment_6-47.txt	4.91kB
01_Module_1_Week_1/04_Video_1.3b_-_Setup_of_Eclipse.mp4	7.00MB
01_Module_1_Week_1/04_Video_1.3b_-_Setup_of_Eclipse.srt	5.13kB
01_Module_1_Week_1/04_Video_1.3b_-_Setup_of_Eclipse.txt	3.07kB
01_Module_1_Week_1/05_Video_1.4a_-_Taxonomy_of_Recommender_Systems_27-57.mp4	30.63MB
01_Module_1_Week_1/05_Video_1.4a_-_Taxonomy_of_Recommender_Systems_27-57.pdf	2.68MB
01_Module_1_Week_1/05_Video_1.4a_-_Taxonomy_of_Recommender_Systems_27-57.srt	33.69kB
01_Module_1_Week_1/05_Video_1.4a_-_Taxonomy_of_Recommender_Systems_27-57.txt	20.47kB
01_Module_1_Week_1/06_Video_1.4b_-_Taxonomy_of_Recommender_Systems_continued_23-21.mp4	32.17MB
01_Module_1_Week_1/06_Video_1.4b_-_Taxonomy_of_Recommender_Systems_continued_23-21.pdf	897.18kB
01_Module_1_Week_1/06_Video_1.4b_-_Taxonomy_of_Recommender_Systems_continued_23-21.srt	27.28kB
01_Module_1_Week_1/06_Video_1.4b_-_Taxonomy_of_Recommender_Systems_continued_23-21.txt	16.05kB
01_Module_1_Week_1/07_Video_1.5_-_Amazon_Tour_36-04.mp4	52.28MB
01_Module_1_Week_1/07_Video_1.5_-_Amazon_Tour_36-04.pdf	6.18MB
01_Module_1_Week_1/07_Video_1.5_-_Amazon_Tour_36-04.srt	42.36kB
01_Module_1_Week_1/07_Video_1.5_-_Amazon_Tour_36-04.txt	25.18kB
02_Module_2_Weeks_2_-_3/01_Video_2.1_-_Introduction_to_non-personalized_recommenders_32-52.mp4	39.40MB
02_Module_2_Weeks_2_-_3/01_Video_2.1_-_Introduction_to_non-personalized_recommenders_32-52.pdf	1.57MB
02_Module_2_Weeks_2_-_3/01_Video_2.1_-_Introduction_to_non-personalized_recommenders_32-52.srt	40.71kB
02_Module_2_Weeks_2_-_3/01_Video_2.1_-_Introduction_to_non-personalized_recommenders_32-52.txt	24.76kB
02_Module_2_Weeks_2_-_3/02_Video_2.2_-_Preferences_and_Ratings_17-21.mp4	22.65MB
02_Module_2_Weeks_2_-_3/02_Video_2.2_-_Preferences_and_Ratings_17-21.pdf	641.10kB
02_Module_2_Weeks_2_-_3/02_Video_2.2_-_Preferences_and_Ratings_17-21.srt	24.96kB
02_Module_2_Weeks_2_-_3/02_Video_2.2_-_Preferences_and_Ratings_17-21.txt	15.06kB
02_Module_2_Weeks_2_-_3/03_Video_2.3_-_Predictions_and_Recommendations_16-46.mp4	18.64MB
02_Module_2_Weeks_2_-_3/03_Video_2.3_-_Predictions_and_Recommendations_16-46.pdf	1.67MB
02_Module_2_Weeks_2_-_3/03_Video_2.3_-_Predictions_and_Recommendations_16-46.srt	20.26kB
02_Module_2_Weeks_2_-_3/03_Video_2.3_-_Predictions_and_Recommendations_16-46.txt	12.39kB
02_Module_2_Weeks_2_-_3/04_Video_2.4_-_Scales_and_Normalization_20-35.mp4	32.78MB
02_Module_2_Weeks_2_-_3/04_Video_2.4_-_Scales_and_Normalization_20-35.pdf	1.83MB
02_Module_2_Weeks_2_-_3/04_Video_2.4_-_Scales_and_Normalization_20-35.srt	30.19kB
02_Module_2_Weeks_2_-_3/04_Video_2.4_-_Scales_and_Normalization_20-35.txt	18.26kB
02_Module_2_Weeks_2_-_3/05_Interview_with_Anthony_Jameson_-_Preferences_and_Ratings_14-59.mp4	21.85MB
02_Module_2_Weeks_2_-_3/05_Interview_with_Anthony_Jameson_-_Preferences_and_Ratings_14-59.srt	23.75kB
02_Module_2_Weeks_2_-_3/05_Interview_with_Anthony_Jameson_-_Preferences_and_Ratings_14-59.txt	14.48kB
03_Module_3_Weeks_4_-5/01_Video_3.1_-_Introduction_to_Content-Based_Recommenders_30-59.mp4	35.53MB
03_Module_3_Weeks_4_-5/01_Video_3.1_-_Introduction_to_Content-Based_Recommenders_30-59.pdf	1.32MB
03_Module_3_Weeks_4_-5/01_Video_3.1_-_Introduction_to_Content-Based_Recommenders_30-59.srt	40.35kB
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Type: Course
Tags: Coursera, recsys

Bibtex:

@article{,
    title = {[Coursera] Recommender Systems (University of Minnesota) (recsys)},
    author = {University of Minnesota}
    }

[Coursera] Recommender Systems (University of Minnesota) (recsys) University of Minnesota

[Coursera] Recommender Systems (University of Minnesota) (recsys)
University of Minnesota