Personalized Travel Product Recommendation Based on Embedding of Multi-Behavior Interaction Network and Product Information Knowledge Graph

Li Pin Xiao, Po Ruey Lei, Wen Chih Peng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we proposed a hybrid recommendation model to tackle two challenges in the recommendation system. First, many of the products have been browsed frequently but may not consequentially be ordered. As a result, the users' actions may not directly be considered as the preference on a specific item. Second, the popularity of sold products has a highly skewed distribution which results in the cold start problem in the recommendation. In order to extract knowledge from users' implicit feedback, we develop the neighborhood structure of users and behaviors on products in the multi-behavior interaction network (MBIN) that incorporates the multiple behaviors simultaneously. To deal with the cold product issue and the skewed distribution problem, we take the product information into consideration by using the metadata of products and extracting more features from the textual contents to form a knowledge graph. By applying embedding algorithms to the multi-behavior interaction network and the knowledge graph, we are able to catch the user's preference from the collaborative implicit feedback aspect and the product information aspect. To evaluate the performance of our model, we conduct extensive experiments on the real-world dataset. The result of our approaches outperforms several widely used methods for the recommendation systems.

Original languageEnglish
Title of host publicationProceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages125-130
Number of pages6
ISBN (Electronic)9781665403801
DOIs
StatePublished - Dec 2020
Event25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020 - Taipei, Taiwan
Duration: 3 Dec 20205 Dec 2020

Publication series

NameProceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020

Conference

Conference25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020
CountryTaiwan
CityTaipei
Period3/12/205/12/20

Keywords

  • browsing behaviors
  • ecommerce
  • knowledge graph
  • network embedding
  • order behaviors

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