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Article
Publication date: 11 April 2008

Yoonjae Jeong and Dongman Lee

The purpose of this study is to improve the egocentric search speed for important documents in neighbouring blogs.

524

Abstract

Purpose

The purpose of this study is to improve the egocentric search speed for important documents in neighbouring blogs.

Design/methodology/approach

This paper presents a rapid egocentric search scheme that narrows down the search space to more important blogs. To determine which blogs are more valuable among a user's neighbouring blogs, a heuristic function is developed that predicts the authority scores on the basis of the local information of the blog. The proposed approach improves the speed of the egocentric search process and the quality of retrieved documents.

Findings

A blog is a new medium that is receiving considerable attention. Its links enable one to acquire information about social relations between bloggers in a blog space, and these relations reflect bloggers' interests. Therefore, the ability to search documents in linked blogs is significant for bloggers. An egocentric search method is proposed to search for documents in such neighbouring blogs. However, it takes considerable time to find the most valuable documents in a user's neighbouring blogs when many blogs are linked to that user's blog.

Originality/value

This study shows that the number of neighbouring blogs, which are linked to a blog with trackbacks and comments, is important for estimating the authority of a blog. In the experimental results this method performs about five times faster than the egocentric search using a breadth‐first search strategy in searching for the top 5 per cent of the most important documents in the neighbouring blogs.

Details

Online Information Review, vol. 32 no. 2
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 11 April 2008

I‐Hsien Ting

The purpose of this guest editorial is to introduce the papers in this special issue.

2873

Abstract

Purpose

The purpose of this guest editorial is to introduce the papers in this special issue.

Design/methodology/approach

A brief introduction about the issue of web‐mining applications in e‐commerce and e‐services is provided, along with a summary of the main contributions of the papers that are included in the special issue.

Findings

The value of web‐mining techniques can be enhanced through applying them to real environments such as e‐commerce and e‐services. The research fields of web mining, e‐commerce and e‐services can also be expanded.

Originality/value

An overview of the special issue and related research is provided in this paper.

Details

Online Information Review, vol. 32 no. 2
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 28 February 2024

Yoonjae Hwang, Sungwon Jung and Eun Joo Park

Initiator crimes, also known as near-repeat crimes, occur in places with known risk factors and vulnerabilities based on prior crime-related experiences or information…

246

Abstract

Purpose

Initiator crimes, also known as near-repeat crimes, occur in places with known risk factors and vulnerabilities based on prior crime-related experiences or information. Consequently, the environment in which initiator crimes occur might be different from more general crime environments. This study aimed to analyse the differences between the environments of initiator crimes and general crimes, confirming the need for predicting initiator crimes.

Design/methodology/approach

We compared predictive models using data corresponding to initiator crimes and all residential burglaries without considering repetitive crime patterns as dependent variables. Using random forest and gradient boosting, representative ensemble models and predictive models were compared utilising various environmental factor data. Subsequently, we evaluated the performance of each predictive model to derive feature importance and partial dependence based on a highly predictive model.

Findings

By analysing environmental factors affecting overall residential burglary and initiator crimes, we observed notable differences in high-importance variables. Further analysis of the partial dependence of total residential burglary and initiator crimes based on these variables revealed distinct impacts on each crime. Moreover, initiator crimes took place in environments consistent with well-known theories in the field of environmental criminology.

Originality/value

Our findings indicate the possibility that results that do not appear through the existing theft crime prediction method will be identified in the initiator crime prediction model. Emphasising the importance of investigating the environments in which initiator crimes occur, this study underscores the potential of artificial intelligence (AI)-based approaches in creating a safe urban environment. By effectively preventing potential crimes, AI-driven prediction of initiator crimes can significantly contribute to enhancing urban safety.

Details

Archnet-IJAR: International Journal of Architectural Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-6862

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