scispace - formally typeset
Proceedings ArticleDOI

Analysing recommendation of colleges for students using data mining techniques

TLDR
A system to provide a recommendation system which will generate the user interested colleges list by asking few questions related to the college like-college infrastructure, campus life, placement, sports and cultural activities is proposed.
Abstract
We proposed a system to provide a recommendation system which will generate the user interested colleges list. This will be done by asking few questions related to the college like-college infrastructure, campus life, placement, sports and cultural activities. Information seeker will give ratings to the questions according to his interest rate. The list of college will be stored in the dataset for calculating the accuracy and precision of the system. Also the students will be giving feedback to the system for their performance.

read more

Citations
More filters
Proceedings ArticleDOI

Hybrid Movie Recommendation System Using Machine Learning

TL;DR: In this article, a hybrid recommendation engine that stacks both the Content-based and SVD filtering models is shown to have optimal performance and improved movie recommendations to retain active viewer engagement with the service.
References
More filters
Journal ArticleDOI

Using collaborative filtering to weave an information tapestry

TL;DR: Tapestry is intended to handle any incoming stream of electronic documents and serves both as a mail filter and repository; its components are the indexer, document store, annotation store, filterer, little box, remailer, appraiser and reader/browser.
Proceedings ArticleDOI

A Discussion of Privacy Challenges in User Profiling with Big Data Techniques: The EEXCESS Use Case

TL;DR: The ongoing EU-funded EEXCESS project is discussed as a concrete example of constructing user profiles with big data techniques and the approaches being considered for preserving user privacy.
Journal ArticleDOI

User Profiling for University Recommender System Using Automatic Information Retrieval

TL;DR: This paper aims at finding, extracting and integrating keyword based information from various web sources to generate a structured profile and does some experiments on the profiled information to generate knowledge out of it.
Proceedings ArticleDOI

Using MongoDB for social networking website deciphering the pros and cons

TL;DR: Various pros and cons encountered with the use of the MongoDB are discussed so that developers would be helped while choosing it wisely.
Proceedings ArticleDOI

Social Recommendation in Location-Based Social Network Using Text Mining

TL;DR: The article presents a methodology of social recommendation to Location-Based Social Network with text mining techniques, and exposes issues that still need to research more effective and consolidated results.