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Papers tagged with "Recommender Systems"
AI-Enhanced Centralized Knowledge Sharing Platform For College Students
For New Batches Of Students Who Are Often Con-fused With Their Respective Admissions And Placements, Existing Digital Platforms Do Not Always Relate To Relevance And Often Appear Vague. Legacy Campus Search Engines Are Built On Simple Keywo...
A Credibility-Weighted Framework For Robust Recommendation, Rating Aggregation, And Community Trust In Movie Platforms
Recommender Systems Often Reinforce Preference Homogeneity And Remain Vulnerable To Rating Manipulation. This Paper Proposes A Credibility-weighted Framework Integrating Review Usefulness Signals Into (1) Thematic Recommendation Modeling, (...
Adaptive Web Recommendations For Personalized Browsing
The Approach Extracts Key Features From Web Documents To Form Concepts, Which Are Used To Build An Ontology Capturing Semantic Relationships Between Learning Materials. Web Usage Mining Analyzes Learner Interactions And Navigation Patterns,...
E-Counsellor For Centralized Admission Process
The Centralized Admission Process (CAP) Carried Out By The Maharashtra State CET Cell Plays A Crucial Role In Allocating Seats To Students Seeking Admission To Engineering Programs. Every Year, Thousands Of Students Struggle To Interpret Cu...
RECOMMENDER SYSTEM
To Address The Growing Problem Of Online Information Overload And Improve Customer Relationship Management, A Recommender System Tries To Provide Consumers With Individualized Online Product Or Service Recommendations. Since The 1990s, Many...
BOOK RECOMMENDATION SYSTEM USING MATRIX FACTORIZATION
Recommender Systems Have Become Evidently Common In Recent Years, And Are Applied To A Diverse Range Of Applications. Recommendations Typically Speed Up Searches And Make It Easier For Users To Access Content That They Are Interested In, An...
SURVEY PAPER ON RECOMMENDED SYSTEM BASED ON USER’S PREFERENCE TRANSITION
Recommender Systems Have Become An Important Tool For Users To Identify Interesting Items And Also For Businesses To Promote Their Products To The Right Users. With Development In Social Networks, Travellers Have Begun To Seek Recommendatio...
RECOMMENDED SYSTEM BASED ON USER’S PREFERENCE TRANSITION
Recommender Systems Have Become An Important Tool For Users To Identify Interesting Items And Also For Businesses To Promote Their Products To The Right Users. With Development In Social Networks, Travellers Have Begun To Seek Recommendatio...
A HIGH RATING PREDICTION BY EXPLORING SOCIAL MOBILE USER’S GEOGRAPHICAL LOCATIONS & LIST OF PRICES
Now’s Days Over Two Hundred Million Customers On-line To The Area-wide Web, And E-alternate Of Global Alternate. Throw The Uses Of Cellular Tool And Strategies Have Essentially Extra Fantastic Social Networks Offerings, Which Includes Faceb...
User review incorporated collaborative filtering for video recommendation system
A Collaborative Filtering Approach Is Proposed Here Which Uses User’s Review For Producing Description Of Items That Represents A Consensus Of Users In Regard With Item’s Features. Structured Metadata Is Helpful For Representing Items Have...
A FRAMEWORK FOR SECURE COMPUTATIONS WITH TWO NON-COLLUDING SERVERS AND MULTIPLE CLIENTS, APPLIED TO RECOMMENDATIONS
A Generic Framework Is Provided That, With The Help Of A Preprocessing Phase That Is Independent Of The Inputs Of The Users, Allows An Arbitrary Number Of Users To Securely Outsource A Computation To Two Non-colluding External Servers. The...
ADDRESSING COLD-START PRODUCT RECOMMENDATION USING MICROBLOGGING REVIEWS
Collaborative Filtering Is Most Common Technique Used In Recommender Systems. It Uses Explicit Information For Making Recommendation Like Product Ratings, User’s Transactional Information And Previous Purchase Records. The Problem Associate...