An open-source framework for ExpFinder integrating <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e86" altimg="si6.svg"><mml:mi>N</mml:mi></mml:math>-gram vector space model and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e91" altimg="si7.svg"><mml:mi mathvariant="normal">μ</mml:mi></mml:math>CO-HITS

Du, Hung; Kang, Yong-Bin

doi:10.1016/j.simpa.2021.100069

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…In order to better describe users' interests, it is necessary to analyze them quantitatively and assign different weights to different interests to measure them more accurately. erefore, in order to build the interest graph of social commerce users, this paper adopts the segmentation tree vector space model (a modified vector space model (VSM)) [28][29][30][31][32][33]. is model can classify and assign weights to different interests of users, that is, expressing users' interests in the form of text, then extracting interest keywords from them for classification, and then calculating the interest distribution by weights.…”

Section: User Interest Representationmentioning

confidence: 99%

Clustering Merchants and Accurate Marketing of Products Using the Segmentation Tree Vector Space Model

Ding

2022

Mathematical Problems in Engineering

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Using social commerce users as the data source, a reasonable and effective interest expression mechanism is used to construct an interest graph of sample users to achieve the purpose of clustering merchants and users as well as realizing accurate marketing of products. By introducing an improved vector space model, the segmentation tree vector space model, to express the interests of the target user group and, on this basis, using the complex network analysis tool Gephi to construct an interest graph, based on the user interest graph, we use Python to implement the K-means algorithm and the users of the sample set according to interest topics for community discovery. The experimental results show that the interests of the sample users are carefully divided, each user is divided into different thematic communities according to different interests, and the constructed interest graph is more satisfactory. The research design of the social commerce user interest mapping scheme is highly feasible, reasonable, and effective and provides new ideas for the research of interest graph, and the boundaries of thematic communities based on interests are clear.

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Section: User Interest Representationmentioning

confidence: 99%

Clustering Merchants and Accurate Marketing of Products Using the Segmentation Tree Vector Space Model

Ding

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

An open-source framework for ExpFinder integrating N-gram vector space model and μCO-HITS

Cited by 1 publication

References 9 publications

Clustering Merchants and Accurate Marketing of Products Using the Segmentation Tree Vector Space Model

Clustering Merchants and Accurate Marketing of Products Using the Segmentation Tree Vector Space Model

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