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

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}
    }

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