Pathfinder – an online shopping assistant driven by data mining

Online Shopping is a household phrase that has been extremely successful in easing the lives of many people across the globe. Online shoppers spend ample amounts of time and money in buying products that they receive at their doorstep in a matter of a few days or, in some cases, a few hours. However, it is not as easy as it looks. People either have plenty of specifics in their mind before buying a product or are just looking to explore a range of products for a particular goal. This adds another layer on top of time and money spent – effort. PathFinder is a guide that helps shoppers make more informed choices and reach their final product decision faster. It is a hand-in-hand assistant for shoppers that helps them at critical stages of the buying process to ensure that they either reach their specifics without too much research or that they get to explore granular details which they would miss otherwise. Being an online shopping assistant, PathFinder aims to reduce the effort spent by online shoppers and eases up the online product purchasing process even further.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2018

Author dc:creator

• Gupta, Akshat

Contributors dc:contributor

• Campbell, Roy H.

• Data-mining
• Text-mining
• Reviews
• Walmart
• Amazon
• Product-search
• Probability
• Word-association
• Summary-generation
• Related-words
• Machine-learning
• Information-retrieval
• Search-engine
• Key-phrase-highlighting
• Walmart-application programming interface (API)

Statement dc:rights

• Coypright 2017 Akshat Gupta

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/99362

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/99362