TY - GEN
T1 - ISLF
T2 - 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
AU - Song, Jing
AU - Shen, Hong
AU - Ou, Zijing
AU - Zhang, Junyi
AU - Xiao, Teng
AU - Liang, Shangsong
N1 - Publisher Copyright:
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Session-based recommendation is a challenging problem due to the inherent uncertainty of user behavior and the limited historical click information. Latent factors and the complex dependencies within the user's current session have an important impact on the user's main intention, but the existing methods do not explicitly consider this point. In this paper, we propose a novel model, Interest Shift and Latent Factors Combination Model (ISLF), which can capture the user's main intention by taking into account the user's interest shift (i.e. long-term and short-term interest) and latent factors simultaneously. In addition, we experimentally give an explicit explanation of this combination in our ISLF. Our experimental results on three benchmark datasets show that our model achieves state-of-the-art performance on all test datasets.
AB - Session-based recommendation is a challenging problem due to the inherent uncertainty of user behavior and the limited historical click information. Latent factors and the complex dependencies within the user's current session have an important impact on the user's main intention, but the existing methods do not explicitly consider this point. In this paper, we propose a novel model, Interest Shift and Latent Factors Combination Model (ISLF), which can capture the user's main intention by taking into account the user's interest shift (i.e. long-term and short-term interest) and latent factors simultaneously. In addition, we experimentally give an explicit explanation of this combination in our ISLF. Our experimental results on three benchmark datasets show that our model achieves state-of-the-art performance on all test datasets.
UR - http://www.scopus.com/inward/record.url?scp=85074908446&partnerID=8YFLogxK
U2 - 10.24963/ijcai.2019/799
DO - 10.24963/ijcai.2019/799
M3 - Conference contribution
AN - SCOPUS:85074908446
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 5765
EP - 5771
BT - Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
A2 - Kraus, Sarit
PB - International Joint Conferences on Artificial Intelligence
Y2 - 10 August 2019 through 16 August 2019
ER -