Seminar on Internet Technologies (Summer 2020): Difference between revisions

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| Knowledge Graph for Recommendation System
| Knowledge Graph for Recommendation System
| The success of recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals.To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF) [12, 13, 32]. Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information [30, 31], such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions.To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| The success of recommendation system makes it prevalent in Web applications, ranging from search engines, E-commerce, to social media sites and news portals.To predict user preference from the key (and widely available) source of user behavior data, much research effort has been devoted to collaborative filtering (CF). Despite its effectiveness and universality, CF methods suffer from the inability of modeling side information, such as item attributes, user profiles, and contexts, thus perform poorly in sparse situations where users and items have few interactions.To address the limitation of CF models, a solution is to take the graph of item side information, aka. knowledge graph into account to construct the predictive model.
| Interested in this topic, patience and time for reading and concluding multiple papers.
| Interested in this topic, patience and time for reading and concluding multiple papers.
| [Shichang Ding,sding@gwdg.de]
| [Shichang Ding,sding@gwdg.de]
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| The student should know the basic knowledge about TCP/IP, network simulation
| The student should know the basic knowledge about TCP/IP, network simulation
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
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| Learning Combinatorial Optimization Algorithms over Graphs
| Learning Combinatorial Optimization Algorithms over Graphs
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| The student should be familiar with machine learning and Integer linear programming
| The student should be familiar with machine learning and Integer linear programming
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
| [Bangbang Ren, bangbang.ren@cs.uni-goettingen.de]
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