Our project take input of title, keywords and abstract as input and then we apply algorithm which find the similarties between journals data and input data then decide which journal is best to pulish their journals.
Web Based Research Paper Recommender System Using deep learning
Our project take input of title, keywords and abstract as input and then we apply algorithm which find the similarties between journals data and input data then decide which journal is best to pulish their journals.
Many publisher don't know which journal to publish they publish their reserach paper in low rank journal or even wrong journals which not related to thier work so we decide to ease their work through our project researcher easly find best journal to publish their paper related to their work.
Firstly we have find the data and filter the data and make indexes through mapping with their rank then algorithm match data through indexes and find the best similar research we have to make proper backend and front end and dashboard.
Our project will make ease to researcher to publish their research paper in journal with best similar type journal with best rank so they don't face any difficulty in publishing.
We implement lucene Apache to make indexes of data with map with ranking, and implement algorithm to find best similar result end in the end we sort results according to their rank we have to make proper backend in flask with dash board proper input system login, signUp system front end with html,css and implement functionalities through JavaScript.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Paid Data | Miscellaneous | 1 | 2000 | 2000 |
| Firewall Implementation | Miscellaneous | 1 | 1000 | 1000 |
| Total in (Rs) | 3000 |
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