Research on the Influence of Online-shopping Additional Reviews on Product Sales of Search Commodity and Experience Commodity

Zhang, Xintong; Chong, Zhang; Wang, Jingyi

doi:10.1088/1742-6596/1693/1/012105

Cited by 2 publications

(1 citation statement)

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“…It is difficult to judge which factors are important through subjective experience. At present, machine learning algorithm has been widely used in the research of commodity recommendation and sorting [4,5]. Li et al [6] built a recommendation system based on sentiment analysis to analyze customers' evaluation and recommend the most interesting products for customers.…”

Section: 1related Workmentioning

confidence: 99%

Product recommendation system based on LightGBMRanker algorithm

Liu

2022

Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022)

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With the continuous development of e-commerce websites, online shopping has become an indispensable part of life. However, the huge amount of product information makes customers lost and weakens the ability to obtain the expected information. In recent years, sorting algorithm has been applied in recommendation system to recommend information and products to customers according to product information and customer behavior patterns. Based on a large number of historical sales commodity data and customer data, combined with LightGBMRanker algorithm and feature engineering processing, this paper establishes a commodity recommendation and sorting model. And judge the accuracy of the sorting model according to the subsequent purchase data of customers. The results show that our model can effectively provide customers with desired product recommendations, and the prediction accuracy is higher than other algorithms. Specifically, the maximum map@12 value of our model is 0.0284, which is 26.22% and 22.41% higher than SVM algorithm and LSTM algorithm respectively. In addition, the ranking of important features that affect product sorting and recommendation is given in this paper, and some constructive guidance is obtained.

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Section: 1related Workmentioning

confidence: 99%