A Taxonomy of Queries for E-commerce Search is needed to maximize search engine performance, user search activities, and search behavior.
Besides, a lot of work took place to help site search users. It is to know the role and actions of users in e-commerce (E-Com) search applications. Yet, little information is available. In this post, we share the analyzed search logs from a large E-Com search engine. Further, to assess users’ search requests and search behavior.
Five distinctive search behaviors: Taxonomy of Queries
(1) Shallow questions for discovery
Are brief ambiguous questions a consumer should first use for product space exploration.
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(2) Tailored demands for transactions
These are requests that are known to consumers for buying posts. So without taking a lot of choices.
(3) Shopping Key object
Users use for a big item shopping. This is also costly and often involves serious exploration. But in a limited scope of choices.
(4) Shopping orders for minor items
Used to buy small products and are not very costly in general. However, some solutions do need discussion.
(5) Shopping questions hard-choice
Users research the items carefully before the decision. Moreover, it is important to equate unique items with each other. The five categories comprise a taxonomy for E-Com inquiries. This will help us learn we can create personalized search applications. Furthermore, to boost the search engine utility for each type of search request.
A Taxonomy of Queries for E-commerce Search
(1) Applied computing (2) Electronic commerce (a) Online shopping (3) Information systems (4) Information retrieval (5) Query processing (a) log analysis
Applied Computing
The research of theoretical with applied computer science is applied computing. The convergence of IT, ICS, and the company takes into account. Further, it talks on the emphasis on technical computing principles. Moreover, it’s the capacity building in company planning and executive leadership. As a result, graduates of applied computing have the realistic technological expertise required for many IT work.
Electronic commerce: Queries for E-commerce Search
Ecommerce, also known as electronic commerce or online commerce. It refers to buy and sale of products or services using the internet. Further, it’s the transmission of money and data to perform these payments. Ecommerce is often used to refer to the selling of physical goods online. However, it may also represent some business activity is via the internet.
Online shopping
Online shopping enables customers to buy products or services via the Internet with the aid of a web browser. By visiting the retailer’s website directly, customers locate a product. In 2020, consumers buy online on a range of computers and smartphones, including desktop, laptop, tablet, and cell phones.
Information system: A Queries for E-commerce Search
A formal, social, and operational structure is an information system. Besides, we use this knowledge for recording, sorting, preserving, and disclosing. From a social-technical point of view, information systems comprise four components: mission, personnel, structure, and technologies.
Information retrieval: A Taxonomy for E-commerce Search
Information retrieval is the science of looking for information in a file. Furthermore, the search itself for documents. And also the metadata search defines data and text, images, or sound records.
Query processing: for E-commerce Search
This ensures that a query specification is compiled and implemented. Typically represented in a Formal Query Language ( SQL) declarative database questionnaire language. The processing of queries requires a compile-time and run-time phase.
Query Log Analysis
The consumer study examines behavioral analysis, system design, and patterns in research topics.
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