Research on Several Recommendation Algorithms

Research on Recommendation Model Optimization

The accuracy of the traditional online recommendation system, much depends on the collaborative filtering recommendation algorithm, however, recommend system aims to attract the interest of consumers and turn visitors into buyers, rather than accurately predict their score. Online recommendation system is the service version of social filtering process. Most previous studies emphasize the accur...

Recommendation algorithm on Academic research

Research on the Influence of Several Factors on Clustering Results using Different Algorithms

Clustering analysis is an important technology in the field of pattern extraction and recognition. In order to find the influence of several factors on clustering results using different algorithms and support the decision for power load pattern extraction using clustering techniques, this paper develops the research on the influence of several factors on clustering results using different algo...

Performance evaluation on several recognition algorithms

How to evaluate the existing recognition algorithms under a uniform platform is an interesting research topic. Most of the comparisons among the algorithms only take use of the dataset in one field and the recognition accuracy as the standard, it is difficult to make people select a suitable algorithm in practice. In this paper, we try to show the various aspects of the algorithms based on the ...

Comparing several GCD algorithms

0 binary, I-binary: The binary GCD algorithm ([lS]) and its improvement for multidigit integers (Gosper, see [12]). We compare the executron times of several algoixtliiiis for computing the G‘C‘U of arbitrary precasion iirlegers. These algorithms are the known ones (Euclidean, brnary, plus-mrnus), and the improved variants of these for multidigit compzltation (Lehmer and similar), as well as ne...