Tuning Personalized PageRank for Semantics-aware Recommendations based on Linked Open Data thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Tuning Personalized PageRank for Semantics-aware Recommendations based on Linked Open Data

Published on Jul 10, 20171443 Views

In this article we investigate how the knowledge available in the Linked Open Data cloud (LOD) can be exploited to improve the effectiveness of a semantics-aware graph-based recommendation framework b

Related categories

Chapter list

Tuning Personalized PageRank for Semantics-aware Recommendations based on Linked Open Data00:00
Recommender Systems00:19
Recommender Systems - 100:44
Recommendation Paradigms01:13
Recommendation Paradigms - 101:24
Recommendation Paradigms - 201:46
Recommendation Paradigms - 302:20
Graph-based RecSys02:52
Graph-based RecSys - 103:00
Graph-based RecSys - 203:23
Graph-based RecSys - 303:32
Graph-based RecSys - 404:18
Graph-based RecSys - 504:24
Linked Open Data (cloud)04:33
Wikipedia04:46
DBpedia05:11
Linked Open Data (cloud)05:47
Linked Open Data (cloud) - 105:58
Introducing Linked Open Data06:04
Introducing Linked Open Data - 106:34
Graph-based RecSys06:56
Graph-based RecSys - 107:09
Graph-based RecSys - 207:24
Graph-based RecSys - 307:30
How to get the recommendations?07:49
Graph-based RecSys - 408:00
Graph-based RecSys - 508:19
Graph-based RecSys - 608:23
Graph-based RecSys - 708:32
Graph-based RecSys - 808:55
Graph-based RecSys - 909:11
Graph-based RecSys - 1009:23
Graph-based RecSys - 1109:35
Graph-based RecSys - 1209:38
Graph-based RecSys - 1309:43
Graph-based RecSys - 1409:47
Graph-based RecSys - 1509:54
Graph-based RecSys - 1610:02
Graph-based RecSys - 1710:10
Graph-based RecSys - 1810:32
Graph-based RecSys - 1910:40
Graph-based RecSys - 2010:49
Graph-based RecSys - 2111:01
Graph-based RecSys - 2211:13
Graph-based RecSys - 2311:25
Experiments11:36
Research Questions11:41
Research Questions - 112:00
Experimental Evaluation12:12
Experimental Evaluation - 112:35
Experimental Evaluation - 212:55
Experimental Evaluation - 313:09
Experimental Evaluation - 413:10
Experimental Evaluation - 513:22
Experimental Evaluation - 613:30
Experimental Evaluation - 713:38
Experimental Evaluation - 813:55
Experimental Evaluation - 914:16
Experimental Evaluation - 1014:32
Experimental Evaluation - 1114:39
Experiment 114:51
Experiment 1 - 114:56
Experiment 1 - 215:05
Experiment 1 - 315:26
Experiment 1 - 415:28
Experiment 1 - 515:51
Take-Home Message16:02
Experiment 216:09
Experiment 2 - 116:15
Experiment 2 - 216:26
Experiment 2 - 317:00
Experiment 2 - 417:02
Experiment 2 - 517:07
Take-Home Message17:31
Experiment 317:43
Experiment 3 - 118:08
Experiment 3 - 218:19
Experiment 3 - 318:26
Conclusions18:33
Recap18:36
Lessons learned18:59
Questions19:22