Shopper Intent Prediction from Clickstream E‑Commerce Data with Minimal Browsing Information [Meta] Criteo click-through data [Meta] Internet-Wide Scan Data Repository [Meta] MIRAGE-2019 - MIRAGE-2019 is a human-generated dataset for mobile traffic analysis with [...] [Meta] Merklemap DNS rec...
Datasets are simply collections of data. It could be financial, community health, stock market data, banking data, geographical data, particle science research data, ratings of products on an eCommerce site, etc. Datasets contain data collected through a scientific survey standard and are important ...
Analyze data on credit card transactions, including whether or not the transaction was an instance of fraud. E-Commerce Data Analyze order data from an online gift retailer active in multiple countries. Google Play Store Apps Data Explore metadata and text reviews of 10,000 apps available on Goo...
In this paper, we discuss and make available three datasets of text classification in Portuguese based on data of the B2W group, which is an important contribution to the research in the field.doi:10.1007/978-3-030-98305-5_40H. V. Ehrenfried...
(3) Preference Datasets; (4) Evaluation Datasets; (5) Traditional Natural Language Processing (NLP) Datasets. The survey sheds light on the prevailing challenges and points out potential avenues for future investigation. Additionally, a comprehensive review of the existing available dataset resources ...
of an object or values of random numbers. The values in this set are known as adatum. The data set consists of data of one or more members corresponding to each row. In this article, let us learn the definition of the dataset, different types of datasets, properties, and so on with ...
Includes Taobao advertising data, Taobao shopping data, and e-commerce data of Alibaba Group. Digital business dataset commerce Life service data Includes data of pre-owned houses, movies and box office, mobile phone number attribution, and administrative, urban, and rural division code information....
In other domains like in e-commerce it is a common practise to use different datasets as benchmarks to evaluate recommender systems algorithms to make the results comparable (MovieLens, Book-Crossing, EachMovie dataset). So far, no universally valid knowledge exists in TEL on algorithm that can...
In particular, fashion brands, designers, and consumers can apply supervised learning datasets to machine learning techniques on their e-commerce platforms, including automatic apparel classifications, recommendations, and styling. Moreover, the study’s findings provide the global fashion industry with ...
Zalando -Fashion MNIST dataset Open eCommerce Zenodo - An open dependable home for the long-tail of science Open Search Engines Svenska kraftnät Open Energy Electricity statistics - We produce Sweden statistics for production, consumption, imbalance index, import and export and more. ...