top of page
Advance search optimization.png
page cover.png

Project still under construction! reach out to learn more

Project overview

An advanced search is a feature that allows users to search for specific information using multiple criteria or filters. This type of search is often used in databases, online stores, and other applications where users need to find specific items or data. Advanced search options can include things like date ranges, keywords, specific fields or categories, and other options that allow users to narrow down their search results.

The following project represents a project worked on industry exposure during internship

Design process

Key is to have a flexible yet accurate search feature that looks modern and feels natural to use.
Phase 1 - Defining the problem took the longest to understand different pain points.

Seer.png
Market research
circle-graph.png
Graph search

Graph search is a feature that allows users to search for information in a graph-based data structure, such as a social network. It is a type of search that uses the relationships between data points to return results, rather than relying solely on keywords or other traditional search methods.

For example, in a social network, a graph search might allow a user to find all of the friends of their friends who live in a certain city. The search would use the connections between users (i.e., who is friends with whom) as well as their profile information (i.e., where they live) to return the results.

Semantic search

Semantic search is a method of searching that uses natural language processing and machine learning techniques to understand the intent behind a user's query, rather than just matching keywords. The goal of semantic search is to return results that are more relevant to the user's intent, rather than simply those that include the keywords they entered. Semantic search can also be used to extract structured data from unstructured data sources, such as text documents, and to provide more accurate and useful search results by understanding the context of the query. It is commonly used in enterprise search, e-commerce, voice search and natural language processing.

Semantic search.png
Primary research 
Group 1133.png
bottom of page