Design intervention on Google Scholar to enrich the information retrieval experience


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Creator/Artist: Mithun Murali

Category: Interaction Design

Document: P2 Project

Batch: 2021-2023

Source: India,   IDC IIT Bombay

Period:  2019-onwards

Medium: Report pdf

Supervisor: Prof. Swati Pal


Detailed Description

The Internet has become the medium of choice for many people to seek information, acquire knowledge, draw conclusions, and solve problems. The Web has become an external memory for its users and even influences how they think and learn, resulting from the search engine. The search feature has been integrated into the operating systems and programs of all types of computing devices. Users can conduct searches anywhere, at any time. Therefore, it has become almost instinctive to locate the search function whenever we need information. The fundamental interaction model of all search functions is fairly similar across all platforms, consisting of query input, result display, and interaction. The development of AI has enabled modern search engines to comprehend some natural language queries and provide concise, direct responses. Multiple industries require access to accurate information. Thus, a vertical search engine concept has emerged. The primary characteristics of vertical search engines are the semantic analysis of the entered key text and the restriction of the result pages to provide the user with more specific results. For example, YouTube is a vertical search engine only for video output. Amazon's search function is a vertical search engine for displaying only items available for shopping.