recommendation model
USER GROUP ESTIMATION AND RECOMMENDATION MODEL FOR SOCIAL NETWORKS
... Engg College, Gobi [email protected] ABSTRACT- Communities with explicit profiles indicate the interests of community members. User and check-in venue details are used to cluster users with different preferences and ...
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Travel Package Recommendation Model based on Collaborative Approach
... Abstract: The development of wireless setting, touristy promoting transfer from the normal way to the new generation. The mobile commerce technology provides client additional directly and more timely info. The accuracy ...
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Cost oriented recommendation model for e commerce
... novel recommendation method for a Web store. We discuss the proposed model, which includes a predicted degree of meeting customer’s needs and product cost while considering each product to be recommended ...
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Ratings Distribution Recommendation Model based Collaborative Filtering Recommendation Algorithm
... Abstract. In order to solve the problem of the popular item ratings interfering in similarity calculation, we proposed the ratings distribution recommendation model. Based on this model, we designed ...
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A new Recommendation Model for the User Clustering-Based Recommendation System
... First of all, how to choose a product when the majority of the offered products are very similar and the client lacks experience? Secondly, how to find the necessary product among others, often unnecessary products? ...
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L.I.M.E. A recommendation model for informal and formal learning, engaged
... L.I.M.E. model, we have designed and implemented a learning scenario, during 4 weeks, and counting 2 groups (experimental-A and control-B) of 24 members ...the model to the described scenario shows a clear ...
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Design of a Recommendation Model Considering Semantic Analysis
... The model proposed by [1] is based on the context and the topics, it is based on the principle that same words in same context tend to have similar meanings ...
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A product recommendation model based on computing with word and OWA operators
... A BSTRACT : Despite its usefulness and high impact there is shortcomings in knowledge based recommendation models. Among its limitations are lack of flexible models, the inclusion of linguistic information and the ...
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A NOVEL RECOMMENDATION MODEL REGULARIZED WITH USER TRUST AND ITEM RATINGS
... factorization model which incorporated both rating and trust information is ...this model. As a rating prediction model, trust SVD works well by incorporating trust ...
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E-Learner Recommendation Model Based on Level of Learning Outcomes Achievement
... SSE but the highest processing time that doesn’t differ a lot when compared the rest functions. The best number of clusters for the selected dataset was determined using three methods Elbow, Gap-statistic and average ...
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Social Recommendation Model Regularized with User Item and Trust Ratings
... information sparsity are resolved by utilized rating records and user social network data. Recommender systems with social regularization provide answer that is generic and simply extensible however it's going to have ...
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A Package Recommendation Model Based on Credit and Time
... our recommendation brings a positive impact on their life by sending e-questionnaires to them, which includes options of ...our model indeed bring good effect for their life ...
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An Integral Tag Recommendation Model for Textual Content
... integral model to encode all the three aspects in a coherent encoder-decoder ...first model textual content with a multi-layer RNN to capture its sequential nature in the encoder, and aug- ment it with the ...
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Web page recommendation model for web personalization
... the recommendation engine has selected only the most rele- vant items by taking into account the relationship of an item towards the active user click-stream and also the similarity between items in term of its ...
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Opinion Recommendation Using A Neural Model
... baseline model, that generates the rating score by RS-MF, and review by ...Joint model is closer to the real ...baseline model did not yield comments about the price based on reviews of other ...
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A Novel Approach for Travel Package Recommendation by using TAST & TRAST Model
... (TRAST) model, which helps understand the reasons why tourists form a travel ...TRAST model can be used as an assessment for travel group automatic formation but also provide more insights into the TAST ...
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Friend Recommendation using FLDA Topic Assignment Model in Microblogging System
... enhanced model of LDA is proposed which is a collaboration of Fenwick and LDA to predict user’s potential friends as given in ...friend recommendation is ...
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Automatic Hashtag Recommendation for Microblogs using Topic Specific Translation Model
... Hashtags, which are usually prefixed with the symbol # in microblogging services, represent the relevance of a tweet to a particular group, or a particular topic (Kwak et al., 2010). Pop- ularity of hashtags grows ...
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Research on recommendation algorithm based on unified model with explicit and latent factors
... One essential flaw of implicit factor model: fully data-driven approach to learning an implicit factor parameter can lead to excessive training data matches and cause the issue of over-training. The root cause of ...
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Expert opinions Based Linear Regression Model for Top N Recommendation
... From the point of view of linear algebra, users' ratings/tastes are actually the linear combinations of experts', when user 𝑢𝑖 is very similar to an expert 𝑒𝑗 , the model will endow 𝑒𝑗 w[r] ...
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