Efficient optimization for L-extSKY recommendations
Zhenhua Huang, Wang, Juru, Bo Zhang · Tehnicki vjesnik - Technical Gazette · 2015
Original scientific paper L-extSKY recommendation has recently received a lot of attention in information retrieval community.Literature [1] proposes an algorithm EARG (Efficient Approach based on Regular Grid) to produce the L-extSKY objects in one single subspace.However, in multi-user environments, the system generally handles multiple subspace L-extSKY recommendations simultaneously.Hence, in this paper, we present an efficient algorithm AOMSR (Algorithm for Optimizing Multiple Subspace L-extSKY Recommendations) to remarkably reduce the total response time.Furthermore, we discuss two interesting variations of L-extSKY recommendation, i.e., global constraint L-extSKY recommendation and local constraint L-extSKY recommendation, which are meaningful in practice, and show how our algorithm can be applied for their efficient processing.Detailed theoretical analyses and extensive experiments that demonstrate our solution are both efficient and effective.