Recommendation Model and Experience

Our recent work in this area includes development of a social recommendation mechanism, an advanced sequential recommendation mechanism, a course recommendation mechanism for university students, a travel recommendation for older adults, and a location-based social search app.

References

  • Anyu Cai, Shin’ichi Konomi (2021) DemiRec: Dynamic Evolutionary Multi-Interest Network for Sequential Recommendation. IEICE SIG DE / IPSJ SIG DBS Technical Report. [Student Encouragement Award]

  • Xiangyuan Hu, Shin’ichi Konomi (2021) QFami: An Integrated Environment for Recommending Answerers on Campus. HCII 2021.

  • Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi (2021) CourseQ: The Impact of Visual and Interactive Course Recommendation in University Environments. Research and Practice in Technology Enhanced Learning, 16, Article number: 18.

  • Boxuan Ma, Yuta Taniguchi, Shin’ichi Konomi (2020). Course Recommendation for University Environment. Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020).

  • Yuhong Lu, Yuta Taniguchi, Shin’ichi Konomi (2021) Generating Travel Recommendations for Older Adults Based on Their Social Media Activities. Proceedings of the 13th International Conference on Cross-Cultural Design (CCD 2021).

  • Shin’ichi Konomi, Xiangyuan Hu, Yu Chen, Tianyuan Yang, Baofeng Ren, Chengzuo Yao (2023). Leveraging Living Trust Networks for Socially-aware Recommendations. Proceedings of the 15th International Conference on Cross-Cultural Design (CCD 2023), Held as Part of HCI International 2023, Copenhagen, July, 2023. Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, July 2023.

  • Tianyuan Yang, Tianjia He, Chenghao Gu, Shin’ichi Konomi. TRASRec: A Triad-Aware Social Recommender System. Proceedings of the 2023 International Conference on Data, Information and Computing Science (CDICS 2023), Singapore, December 8-10, 2023.