Result Diversification in Search and Recommendation: A Survey

H Wu, Y Zhang, C Ma, F Lyu, B He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Diversifying return results is an important research topic in retrieval systems in order to
satisfy both the various interests of customers and the equal market exposure of providers …

[PDF][PDF] A survey of diversification techniques in search and recommendation

H Wu, Y Zhang, C Ma, F Lyu, F Diaz, X Liu - CoRR arXiv, 2022 - researchgate.net
Authors' addresses: Haolun Wu, haolun. wu@ mail. mcgill. ca, School of Computer Science,
McGill University & Mila, 845 Sherbrooke St W, Montreal, Quebec, Canada; Yansen Zhang …

Adaptive and efficient high-order rating distance optimization model with slack variable

Y He, H Zou, H Yu, S Zheng, S Gao - Knowledge-Based Systems, 2020 - Elsevier
The classical high-order rating distance model which aims to minimize not only (i) the
difference between the estimated and real ratings of the same user–item pair (ie, the first …