Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Factorial Design02:01

Factorial Design

13.2K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.2K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

100
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
100
Predicting Products: SN1 vs. SN202:27

Predicting Products: SN1 vs. SN2

13.7K
Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
13.7K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

12.0K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
12.0K
Cluster Sampling Method01:20

Cluster Sampling Method

12.5K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.5K
Protein Networks02:26

Protein Networks

4.1K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Association between genetic polymorphism of tumor necrosis factor and chronic severe hepatitis B in patients].

Zhonghua yi xue za zhi·2007
Same author

In vivo translational inaccuracy in Escherichia coli: missense reporting using extremely low activity mutants of Vibrio harveyi luciferase.

Biochemistry·2007
Same author

[Construction of recombinant adenovirus vector expressing extracellular domain of TbetaR-II-RANTES fusion gene and its anti-tumor effects].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2007
Same author

[Characteristics, evolution and variation of M genes of human avian H5N1 strains in Guangdong].

Bing du xue bao = Chinese journal of virology·2007
Same author

Dynamic changes in microbial activity and community structure during biodegradation of petroleum compounds: a laboratory experiment.

Journal of environmental sciences (China)·2007
Same author

Differences in optical transport properties between human meridian and non-meridian.

The American journal of Chinese medicine·2007

Related Experiment Video

Updated: Aug 31, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K

Precise Marketing of E-Commerce Products Based on KNN Algorithm.

Jianfeng Zou1, Hui Li1

  • 1Guangzhou College of Technology and Business, Guangzhou, China.

Computational Intelligence and Neuroscience
|August 22, 2022
PubMed
Summary

This study enhances precision marketing for e-commerce agricultural products using the k-Nearest Neighbors (KNN) algorithm. It accurately predicts product prices and consumer purchase intentions, improving marketing effectiveness.

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

Related Experiment Videos

Last Updated: Aug 31, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

Area of Science:

  • Agricultural Economics
  • Data Science
  • Consumer Behavior

Background:

  • Understanding consumer decision-making is crucial for e-commerce success.
  • Traditional marketing struggles to address the complexities of online agricultural product sales.
  • Precision marketing offers a data-driven approach to optimize sales strategies.

Purpose of the Study:

  • To investigate the application of the k-Nearest Neighbors (KNN) algorithm for precision marketing of e-commerce agricultural products.
  • To develop a predictive model for e-commerce agricultural product pricing and consumer purchase intention.
  • To enhance the effectiveness of marketing strategies in the e-commerce agricultural sector.

Main Methods:

  • Utilized data mining techniques, including the classic KNN algorithm and Backpropagation Neural Network (BPNN) algorithm.
  • Integrated binomial functions with the Euclidean distance formula for similarity calculations within the KNN algorithm.
  • Employed particle swarm optimization to fine-tune the binomial function coefficient and the 'K' value in the KNN algorithm.

Main Results:

  • Developed an optimized prediction model for e-commerce agricultural product prices and consumer purchase intentions.
  • Achieved a highest prediction accuracy of 94.2% for both price and purchase intention.
  • Demonstrated that pricing and promotion strategies can mitigate consumer compromise effects.

Conclusions:

  • The enhanced KNN algorithm accurately predicts e-commerce agricultural product prices and consumer purchase intentions.
  • Data-driven precision marketing significantly improves marketing outcomes and economic benefits for e-commerce agricultural enterprises.
  • This approach overcomes limitations of traditional marketing methods in the digital age.