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

Review and Preview01:10

Review and Preview

9.0K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
9.0K
Review and Preview01:13

Review and Preview

12.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
12.2K
Rate-Determining Steps03:08

Rate-Determining Steps

39.7K
Relating Reaction Mechanisms
In a multistep reaction mechanism, one of the elementary steps progresses significantly slower than the others. This slowest step is called the rate-limiting step (or rate-determining step). A reaction cannot proceed faster than its slowest step, and hence, the rate-determining step limits the overall reaction rate.
The concept of rate-determining step can be understood from the analogy of a 4-lane freeway with a short-stretch of traffic-bottleneck caused due to...
39.7K
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

604
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
604
One-Way ANOVA01:18

One-Way ANOVA

15.2K
One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
15.2K
Types of Aggregate Grading01:15

Types of Aggregate Grading

1.9K
Aggregate grading is crucial in economically obtaining a concrete mix with adequate strength, reasonable workability, and minimal segregation. There are four types of aggregate gradation: well-graded, uniformly (or one-sized) graded, gap-graded, and open-graded.
Well-graded aggregates include a complete range of necessary size fractions that fit together to create a dense matrix with minimal voids, represented by a smooth, continuous gradation curve. This type of grading ensures good...
1.9K

You might also read

Related Articles

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

Sort by
Same author

ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data.

Nucleic acids research·2017
Same journal

A practical design of backdoor trigger under frequency-based orthogonality constraints.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

EEG fine-grained visual semantic decoding via a multimodal framework.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Collaborative-adversarial jailbreaking: A propagation-aware attack framework for multi-agent code generation systems.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Theoretical analysis of the denoising autoencoder using Tweedie's formula.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Frequency-based cross-attention fusion network for RGB-D salient object detection.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

HTNet: A self-supervised heterogeneous triple network for multi-modal data.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

Related Experiment Video

Updated: Apr 16, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K

Diversifying customer review rankings.

Ralf Krestel1, Nima Dokoohaki2

  • 1Department of Computer Science, University of California, Irvine, USA.

Neural Networks : the Official Journal of the International Neural Network Society
|March 22, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework to rank e-commerce product reviews. It improves review selection by optimizing for sentiment and aspects, making online shopping easier.

Keywords:
DiversificationRankingReview recommendationSummarizationTopic models

Related Experiment Videos

Last Updated: Apr 16, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K

Area of Science:

  • Information Retrieval
  • Natural Language Processing
  • E-commerce Analytics

Background:

  • Consumer reviews are crucial for e-commerce success, but their sheer volume overwhelms shoppers.
  • Existing review ranking methods (recency, helpfulness) are insufficient for comprehensive understanding.
  • Efficiently summarizing or selecting key reviews is essential for informed purchasing decisions.

Purpose of the Study:

  • To develop a novel framework for ranking product reviews in e-commerce.
  • To optimize review ranking for sentiment and aspect coverage.
  • To enable effective summarization of user-generated feedback using top-ranked reviews.

Main Methods:

  • Utilized star ratings as a proxy for review sentiment polarity.
  • Compared bag-of-words (language models) against topic models (Latent Dirichlet Allocation) for aspect representation.
  • Developed a ranking framework optimizing for sentiment and aspect coverage.

Main Results:

  • The proposed framework significantly enhances review ranking effectiveness.
  • Outperformed traditional recency ranking by 30% in evaluations.
  • Achieved optimal results by integrating both language and topic model representations.

Conclusions:

  • The developed framework offers a more effective approach to ranking e-commerce reviews.
  • Optimizing for sentiment and aspects provides better insights than simple recency or helpfulness.
  • Combining different textual representations yields superior review summarization and selection.