حوزه علمی

Collaborative Filtering

مجموعه‌ای از مقالات و رویدادهای علمی مرتبط با «Collaborative Filtering» در نمایه علمی‌جو.

۶ مقاله ۰ کنفرانس ۶ ارتباط علمی
پژوهش‌های مرتبط

مقالات حوزه Collaborative Filtering

مقاله کنفرانسی سال ۱۳۹۲ ۲,۴۳۷ مشاهده

Design Context Aware Activity Recommender System in Social Networks Using Clustering Technique

Nowadays, social networks are widely used by everyone So, it is necessary to do appropriate and situation aware activities in these networks to gain…

context awarerecommender systemcollaborative filtering
مقاله کنفرانسی سال ۱۳۹۳ ۱,۴۸۹ مشاهده

A Review on Similarity Measurement Methods inTrust-based Recommender Systems

These days, due to growing the e commerce sites, access to information about items is easier than past But because of huge amount of information, we…

Measurement methodsTrust-basedapproachesRecommender systems
مقاله کنفرانسی سال ۱۳۹۳ ۱,۴۱۲ مشاهده

A Review on Trust-based Recommender Systems

By growing the e commerce sites, a new challenge is information overload The problem refers to huge information about items, users and activities, wh…

Trust-based approachesRecommendersystemsCollaborative filtering
مقاله کنفرانسی سال ۱۳۹۵ ۸۵۰ مشاهده

A new method to improve the recommendation system by creating user profile and optimization of evaluation criterion

Recommender systems affecting the in user s leadership and guidance, in the midst of a huge amount of choices possible, to reach the useful and inter…

Recommender systemsCollaborative filteringComments mining
مقاله کنفرانسی سال ۱۳۹۸ ۶۶۸ مشاهده

FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach

Recommender SystemsCollaborative Filtering
مقاله کنفرانسی سال ۱۴۰۳ ۲۵۷ مشاهده

Enhancing E-Commerce Recommender Systems by Integrating Content-Based Filtering, Collaborative Filtering, and Neural Network Techniques

Recommender systems are recognized as essential tools for enhancing user experience and increasing engagement in e commerce platforms However, tradit…

TF-IDFRecommender systemsContent-based filtering