Social Media Management in Big Data Era

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    How to Meet the Diverse Needs of Consumers: Big Data Mining based on Online Review
    ( 2020-01-07) Gu, Wei ; Hu, Rui ; Song, Yanan
    This article applied Word2vec and image mining on OCRs analysis. Data from showed that in Beijing, good taste is the primary factor for customers to choose a restaurant. Unlike the general opinion, careers and locations have little influence on cuisine choice in Beijing. Hot pot is the most popular one all over the city. Warm color, medium dark light and saturation with certain amount of grey are three key aspects for an enjoyable dining environment. Offline mouth to mouth recommendation is the most useful way to spread a restaurants reputation. So making the antecedent consumer satisfy is the most applied way to appeal new ones. This findings can help restaurant owners to run a better business and promote the satisfactory.
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    A Novel Approach to Predict the Helpfulness of Online Reviews
    ( 2020-01-07) Namvar, Morteza
    Online reviews help consumers reduce uncertainty and risks faced in purchase decision making by providing information about products and services. However, the overwhelming amount of data continually being produced in online review platforms introduce a challenge for customers to read and judge the reviews. This research addresses the problem of misleading and overloaded information by developing a novel approach to predict the helpfulness of online reviews. The proposed approach in this study, first, clusters reviews using reviewer-related, and temporal factors. It then uses review-related factors to predict online review helpfulness in each cluster. Using a sample of reviews, the empirical findings offer strong support to the proposed approach and show its superior predictions of review helpfulness compared to earlier approaches. The outcomes of this study help customers in online shopping and assist online retailers in reducing information overload to improve their customers’ experience.
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    Introduction to the Minitrack on Social Media Management in Big Data Era
    ( 2020-01-07) Gan, Mingxin ; Ye, Hua ; Yan, Xiangbin