Emotion-based recommendation process for ‘existing’ users
Feature Extraction Based Dynamic Recommendation for Analogous Users
... The advantage of our method is more remarkable when a larger data set with higher dimension is used. With current projections regarding the growth of Internet sales, online retailing raises many questions about how to ...
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Social Trust Based Recommendation System for OSN Users
... OSN users face is “Information ...user based on the social ...of recommendation is to incorporate trust information between the ...the existing models work well with internet and computer ...
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Users Ranking Pattern Based Trust Model Regularization in Product Recommendation
... product recommendation engine has become a key aspect of e-commerce website ...product recommendation engine is important decision you make to help your company improved talk with ...product ...
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Personalized recommendation for cold start users
... common recommendation systems attack methods are random, average, and ...system based on the domain ...genuine users, thereby minimizing the cost of attack in terms of a number of attack profiles ...
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Improving the Recommendation Accuracy for Cold Start Users in Trust-Based Recommender Systems
... In order to overcome this problem, we decided to give trust a bigger role in guiding the ants in their search process without impacting their ability to perform well for other users. We saw a room for ...
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Optimal Diversity of Recommendation List for Recommender Systems based on the Users Desire Diversity
... when users’ personality traits are integrated into the process of generating ...considers users’ desire diversity in their recommendation list is completely ...of users based on ...
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Recommendation in Social Media: Utilizing Relationships among Users to Enhance Personalized Recommendation
... new users when there is no his- torical behavior data to be ...social recommendation where the data sparsity is tackled by utilizing the rapidly growing social network information in recommender systems ...
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A Comparative Study of Recommendation Methods for Mobile OSN Users
... of recommendation systems. We saw that the recommendation systems can be classified in to content based, collaborative-filtering and hybrid ...CF based approaches and trust incorporated ...
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HashGraph : an expressive and scalable Twitter users profile for recommendation
... by users. Consequently, real time recommendation systems require very efficient algo- rithm to quickly process this massive amount of data, so as to recommend users having similar ...
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Discovering Popular Clicks\\\' Pattern of Teen Users for Query Recommendation
... query recommendation to teen user based on which, the user can access high-quality content through the search ...Teen users, while entering a query, usually insert irrelevant keywords to their ...
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Exploiting feature extraction techniques on users’ reviews for movies recommendation
... A zero value indicates that an item simply does not have that feature. As an alternative for the vector construction, the system can also produce a binary sentiment vector. In a previous work, we defined the best ...
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An approach to enrich users’ personomy using the recommendation of semantic tags
... the recommendation, we proposed a process in which, after preprocessing the Web resources, the folksonomy and the personomy terms, we ex- tract a lightweight ontology from them and create a rank- ing ...
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Emotion based Music Recommendation System
... MUSIC RECOMMENDATION: The input is acquired in real-time so the camera is used to capture the video and then the framing are ...of emotion classification ...the emotion being expressed ...the ...
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Recommendation with Implicit Trust Relationship Based on Users’ Similarity
... ABSTRACT Recommendation algorithms based on trust relationship have been shown with a great ...Many existing algorithms only consider the trust ...most users have few trustworthy person can be ...
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Nearby Product Recommendation System Based on Users Rating
... The recommendation system is very popular nowadays. Recommendation system emerged over the last decade for better findings of things over the ...a recommendation system for tracking and finding items ...
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Automatic Recognition of Emotion for Music Recommendation
... music emotion recognition system (MER) for music ...music emotion recognition systems, namely feature selection, the model of emotions, annotation methods, and machine learning techniques ...
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Influence Calculation Model of Microblog User Based on Content, Emotion and Users
... based on their value i.e. influence. Xu Danqing et al. [7] proposed a new social influence model, the PTIM model, which was an iterative combination of the characteristics of the user’ s fans and small-world ...
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A free recommendation process of preprints based on peer reviews
... It becomes a valid & citable final article can still be submitted to a journal AND ‘‘ ‘ ‘ Recommended, peer-reviewed preprint PDF vn PDF A citable Recommendation text + the Rev[r] ...
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Online shopping recommendation optimization based on users previous search history
... item based collaborative filtering (type of recommendation system) and personalized search which works on user’s previous search ...novel users or new items) is addressed in this model with the help ...
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A Hybrid Music Recommendation System Based On Different Features Of The Music And Users
... Music recommendation is one of the subtasks of MIR systems and it involves finding music that suits a personal taste ...music recommendation systems today [2]. Usually music recommendation systems ...
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