Extending Knowledge Graphs with Subjective Influence Networks for Personalized Fashion-Reference-Cited by-同舟云学术

Extending Knowledge Graphs with Subjective Influence Networks for Personalized Fashion

Published:2018-09-19 Issue: Volume: Page:203-233
ISSN:2198-4182
Container-title:Designing Cognitive Cities
language:
Short-container-title:

Author:

Bollacker Kurt,Díaz-Rodríguez Natalia,Li Xian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00317-3_9

Reference27 articles.

1. Abbeel P, Ng AY (2004) Apprenticeship learning via inverse reinforcement learning. In: Proceedings of the twenty-first international conference on machine learning, ACM, p 1

2. Ajmani S, Ghosh H, Mallik A, Chaudhury S (2013) An ontology based personalized garment recommendation system. In: 2013 IEEE/WIC/ACM International joint conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), vol 3. IEEE, pp 17–20

3. Bollacker K, Díaz-Rodríguez N, Li X (2016) Beyond clothing ontologies: modeling fashion with subjective influence networks. In: KDD workshop on machine learning meets fashion

4. Bollacker K, Evans C, Paritosh P, Sturge T, Taylor J (2008) Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD international conference on management of data, ACM, New York, NY, USA, SIGMOD ’08, pp 1247–1250. https://doi.org/10.1145/1376616.1376746

5. Breslin JG, Harth A, Bojars U, Decker S (2005) Towards semantically-interlinked online communities. In: The semantic web: research and applications, Springer, pp 500–514

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification;Knowledge-Based Systems;2022-12

2. EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case;Information Fusion;2022-03

3. An integrated approach: using knowledge graph and network analysis for harnessing digital advertisement;Multimedia Tools and Applications;2022-01-22

4. A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities;Sensors;2021-12-09

5. Workshop on Recommender Systems in Fashion and Retail;Fifteenth ACM Conference on Recommender Systems;2021-09-13