Dataset Information

ESLI: Enhancing slope one recommendation through local information embedding.

ABSTRACT: Slope one is a popular recommendation algorithm due to its simplicity and high efficiency for sparse data. However, it often suffers from under-fitting since the global information of all relevant users/items are considered. In this paper, we propose a new scheme called enhanced slope one recommendation through local information embedding. First, we employ clustering algorithms to obtain the user clusters as well as item clusters to represent local information. Second, we predict ratings using the local information of users and items in the same cluster. The local information can detect strong localized associations shared within clusters. Third, we design different fusion approaches based on the local information embedding. In this way, both under-fitting and over-fitting problems are alleviated. Experiment results on the real datasets show that our approaches defeats slope one in terms of both mean absolute error and root mean square error.

SUBMITTER: Zhang HR

PROVIDER: S-EPMC6786606 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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ESLI: Enhancing slope one recommendation through local information embedding.

Zhang Heng-Ru HR Ma Yuan-Yuan YY Yu Xin-Chao XC Min Fan F

PloS one 20191010 10

Slope one is a popular recommendation algorithm due to its simplicity and high efficiency for sparse data. However, it often suffers from under-fitting since the global information of all relevant users/items are considered. In this paper, we propose a new scheme called enhanced slope one recommendation through local information embedding. First, we employ clustering algorithms to obtain the user clusters as well as item clusters to represent local information. Second, we predict ratings using t ...[more]

PMID: 31600235

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Project description:The relatively low infectivity of baculoviruses to their host larvae limits their use as insecticidal agents on a larger scale. In the present study, a novel strategy was developed to efficiently embed foreign proteins into Autographa californica multiple nucleopolyhedrovirus (AcMNPV) occlusion bodies (OBs) to achieve stable expression of foreign proteins and to improve viral infectivity. A recombinant AcMNPV bacmid was constructed by expressing the 150-amino-acid (aa) N-terminal segment of polyhedrin under the control of the p10 promoter and the remaining C-terminal 95-aa segment under the control of the polyhedrin promoter. The recombinant virus formed OBs in Spodoptera frugiperda 9 cells, in which the occlusion-derived viruses were embedded in a manner similar to that for wild-type AcMNPV. Next, the 95-aa polyhedrin C terminus was fused to enhanced green fluorescent protein, and the recombinant AcMNPV formed fluorescent green OBs and was stably passaged in vitro and in vivo The AcMNPV recombinants were further modified by fusing truncated Agrotis segetum granulovirus enhancin or truncated Cydia pomonella granulovirus ORF13 (GP37) to the C-terminal 95 aa of polyhedrin, and both recombinants were able to form normal OBs. Bioactivity assays indicated that the median lethal concentrations of these two AcMNPV recombinants were 3- to 5-fold lower than that of the control virus. These results suggest that embedding enhancing factors in baculovirus OBs by use of this novel technique may promote efficient and stable foreign protein expression and significantly improve baculovirus infectivity.IMPORTANCE Baculoviruses have been used as bioinsecticides for over 40 years, but their relatively low infectivity to their host larvae limits their use on a larger scale. It has been reported that it is possible to improve baculovirus infectivity by packaging enhancing factors within baculovirus occlusion bodies (OBs); however, so far, the packaging efficiency has been low. In this article, we describe a novel strategy for efficiently embedding foreign proteins into AcMNPV OBs by expressing N- and C-terminal (dimidiate) polyhedrin fragments (150 and 95 amino acids, respectively) as fusions to foreign proteins under the control of the p10 and polyhedrin promoters, respectively. When this strategy was used to embed an enhancing factor (enhancin or GP37) into the baculovirus OBs, 3- to 5-fold increases in baculoviral infectivity were observed. This novel strategy has the potential to create an efficient protein expression system and a highly efficient virus-based system for insecticide production in the future.

Dataset Information

ESLI: Enhancing slope one recommendation through local information embedding.

Publications

ESLI: Enhancing slope one recommendation through local information embedding.

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