Applied sentiment analysis on a real estate advertisement recommendation model

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2022-02-27 DOI:10.1080/17517575.2022.2037158

Regina Fang-Ying Lin, Jiesheng Wu, K. Tseng, Y. Tang, Lu Liu

引用次数: 1

Abstract

ABSTRACT Recently, the data generated are exploding in the information age. In the post-COVID-19 era, some real estate contracts have been signed online, and online advertisement recommendation has become a new way to reduce the searching cost. Therefore, the model in which real estate online recommendations can be made suitable without user preferences has become a tricky problem. This study uses sentiment and economic data to predict real estate sales and then made an advertisement recommendation from the forecast results. The 2SA-RERec (Two Sentiment Analysis of Real Estate Recommendation) model is proposed, which shows the highest accuracy among the others.

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将情感分析应用于房地产广告推荐模型

摘要最近，在信息时代，生成的数据呈爆炸式增长。在后COVID-19时代，一些房地产合同已经在网上签订，在线广告推荐成为降低搜索成本的新方式。因此，在没有用户偏好的情况下，如何使房地产在线推荐变得合适已经成为一个棘手的问题。本研究使用情绪和经济数据来预测房地产销售，然后根据预测结果进行广告推荐。提出了2SA-RERec（房地产推荐的两种情绪分析）模型，该模型在其他模型中具有最高的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.

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