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System-Cold-Start problem

A Secure Cold Start Online Product Recommendation System with Reputation Defense Technique Using Anomaly Detection

A Secure Cold Start Online Product Recommendation System with Reputation Defense Technique Using Anomaly Detection

... Comparing to these neighbourhood-based approaches, it performs the best result in terms of coverage: about 88.8% test data has been successful predicted. According to these comparisons, it can significantly alleviate the ...

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A Hybrid Approach to Solve Cold Start Problem in Recommender Systems using Association Rules and Clustering Technique

A Hybrid Approach to Solve Cold Start Problem in Recommender Systems using Association Rules and Clustering Technique

... Recommendation system shows best behavior when the user profiles are extensive and dataset has high information density. Expanding user profile means it contains more ratings. From the existing taxonomy driven ...

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An Adaptive Query based Product Recommendation System

An Adaptive Query based Product Recommendation System

... “Cold-start Problem in Collaborative Recommender Systems: Efficient Methods Based on Ask-to-rate Technique”, Mohammad-HosseinNadimi-Shahraki and MozhdeBahadorpour Journal of Computing and Information ...

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A Mechanism for Handling Cold Start in Book
Recommender System by Sharing Student
Profile.

A Mechanism for Handling Cold Start in Book Recommender System by Sharing Student Profile.

... Recommendation system, one of the main concerns is the insufficient amount of information available about the new users or new ...this problem is termed as Cold Start, which affects the ...

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Hybrid Recommender System for Research Papers

Hybrid Recommender System for Research Papers

... recommender system for research papers, which can be used as the alternative to the current ...This system is hybridization of content filtering and collaborative filtering ...This system based on ...

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Alleviating Cold-Start Problem in LARS* Using Hybrid Systems

Alleviating Cold-Start Problem in LARS* Using Hybrid Systems

... recommender system that uses location based ratings to produce ...from cold start problem. In cold start problem, the recommenders cannot draw inferences for users who are ...

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A Survey on Data Mining Based POI Recommendation System Using Geo Tagged Images

A Survey on Data Mining Based POI Recommendation System Using Geo Tagged Images

... the cold start problem occurs when a new user or item has just entered the system, it is difficult to find similar ones because there is not enough information (in some literature, the ...

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Handling Cold Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors

Handling Cold Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors

... the cold-start problem, we first try to find the textual information which is sim- ilar with that of the new reviewer, from the ex- isting ...

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An Introduction on Separating Gray-Sheep Users in Personalized Recommender Systems Using Clustering Solution

An Introduction on Separating Gray-Sheep Users in Personalized Recommender Systems Using Clustering Solution

... the cold-start problem. This problem is related to recommendations for new users and ...filtering system in order to identify users with similar behaviors. This system uses a ...

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Analysis and Prediction of Early Reviewers and Product Popularity Using Discriminate Novel Embedding-Based Ranking (DNE-BR)

Analysis and Prediction of Early Reviewers and Product Popularity Using Discriminate Novel Embedding-Based Ranking (DNE-BR)

... The system mainly deals with the problem of cold start. The significant role of early reviews has paying attention in depth attention from selling practitioners to induce client purchase ...

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A Generic Strategy for Cold-Start Rating Prediction Problem Using RAPARE

A Generic Strategy for Cold-Start Rating Prediction Problem Using RAPARE

... Recommender system is one of indispensable components in many e-commerce ...the cold-start problem, which can be viewed as a barrier that keeps the cold-start users/items away ...

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Leveraging Social Network Data to Alleviate Cold-Start Problem in Recommender Systems

Leveraging Social Network Data to Alleviate Cold-Start Problem in Recommender Systems

... recommendation system that was enforced for asequence of retail ...the system implementation squaremeasure represented and sensible problems that arise in such real-world applications square measure ...

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Survey on recommendation system using semantic web mining

Survey on recommendation system using semantic web mining

... Recommendation system becomes an essential in web applications that provide many services and suggest some services automatically as per user’s ...recommender system, the collaborative filtering approach is ...

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A Survey on Cold-Start Product Recommendation System by using Micro blogging Information

A Survey on Cold-Start Product Recommendation System by using Micro blogging Information

... cross-site cold start product ...this problem is how to use the information taken from social networking sites for cold start product ...the cold start product ...

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Cold-start Problem in Collaborative Recommender Systems: Efficient Methods Based on Ask-to-rate Technique

Cold-start Problem in Collaborative Recommender Systems: Efficient Methods Based on Ask-to-rate Technique

... • Item-item personalized, where items are pro- posed until the user gives at least one rat- ing; then, similarity between the items will be computed using a recommender system based on some similarity measures and ...

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Mitigating Cold Start Problem In A Personalized Recommender System

Mitigating Cold Start Problem In A Personalized Recommender System

... Recommendation System (RS) offers suggestions on various items like movie, music, holiday plans, hotels, airline reservation, insurance, books, online courses and many more, either to an individual (personalized ...

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Personalized recommendation for cold start users

Personalized recommendation for cold start users

... recommender system faces the problem of ...recommender system to build within it a number of profiles with the aim of altering the system’s ...recommender system consists of a set of attack ...

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A State Of The Art Survey On Cold Start Problem In A Collaborative Filtering System

A State Of The Art Survey On Cold Start Problem In A Collaborative Filtering System

... The Cold- Start problem in recommender system is gaining much importance these ...The Cold- Start problem can be item- based or User- Based ...as cold- items and a ...

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Alleviating the Cold Start Problem in Recommender Systems Based on Modularity Maximization Community Detection Algorithm

Alleviating the Cold Start Problem in Recommender Systems Based on Modularity Maximization Community Detection Algorithm

... Item-Cold Start problem, detect the community based on the user-movie matrix, then creates a short description of the new ...User Cold-Start problem, the user is new to the ...

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Cold Start Problem in Personalized Web Search

Cold Start Problem in Personalized Web Search

... ranking system for mining complex relationships on the semantic ...proposed system supports each user to give simple feedback about the current search results and employs a machine-learning based ranking ...

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