E-Commerce Sales Prediction Using Listing Keywords
نویسنده
چکیده
Small online retailers usually set themselves apart from brick and mortar stores, traditional brand names, and giant online retailers by offering goods at exceptional value. In addition to price, they compete for shoppers’ attention via descriptive listing titles, whose effectiveness as search keywords can help drive sales. In this study, machine learning techniques will be applied to online retail data to measure the link between keywords and sales volumes.
منابع مشابه
Item Popularity Prediction in E-commerce Using Image Quality Feature Vectors
Online retail is a visual experienceShoppers often use images as first order information to decide if an item matches their personal style. Image characteristics such as color, simplicity, scene composition, texture, style, aesthetics and overall quality play a crucial role in making a purchase decision, clicking on or liking a product listing. In this paper we use a set of image features that ...
متن کاملDesigning product listing pages - Effects on sales and users' cognitive workload
Product listing pages, where information on multiple products are displayed, represent a vital point of an E-commerce website on which consumer decisions are made. Prior research has shown that the design of product listing pages has an impact on users’ performance and their recall of brand names. The aim of this study was to examine effects of presentation on cognitive load and consumer decisi...
متن کاملInvestigating the opportunities and challenges of entrepreneurial sales of aquatic animals in the Persian Gulf with the E-Commerce approach (Bandar Abbas city)
Aquaculture is one of the largest food production industries in the world. There are more than 400 species of fish species in the Persian Gulf; many of them are eaten as food. Electronic trade of aquatic animals can provide suitable employment opportunities in the fisheries sector as a new field. The purpose of this study was to investigate the process of aquaculture e-commerce in Bandar Abbas ...
متن کاملIRHM: Inclusive Review Helpfulness Model for Review Helpfulness Prediction in E-commerce Platform
Online reviews have become essential aspect in E-commerce platforms due to its role for assisting customers’ buying choices. Furthermore, the most helpful reviews that have some attributes are support customers buying decision; therefore, there is needs for investigating what are the attributes that increase the Review Helpfulness (RH). This research paper proposed novel model called inclusive ...
متن کاملIssues in Mobile e-commerce: A survey
Mobile e-commerce or M-commerce describes online sales transaction that uses wireless or mobile electronic devices. These wireless devices interact with computer networks that have the ability to conduct online merchandise purchases. The rapid growth of mobile commerce is being driven by number of factors – increasing mobile user base, rapid adoption of online commerce and technological advance...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014