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Cold start

RDE in Congested Traffic with Cold Start

RDE in Congested Traffic with Cold Start

... This is a simple loop real driving with cold start and was designed to be similar to the NEDC urban part. 5 repeat journeys are shown, which demonstrate the differences caused by different traffic ...

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Enriching Cold Start Personalized Language Model Using Social Network Information

Enriching Cold Start Personalized Language Model Using Social Network Information

... (Chirita et al., 2007). Personalization has also been modeled in many NLP tasks such as sum- marization (Yan et al., 2011) and recommenda- tion (Yan et al., 2012). Different from our pur- pose, these models do not aim at ...

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A Study on Problem, Causes and Aids of Cold Start Performance on Internal Combustion Engine

A Study on Problem, Causes and Aids of Cold Start Performance on Internal Combustion Engine

... poor cold start performance being assigned a high fuel ...the cold start and warm up phase of IC engine, particularly for a consumer whose driving habits are for a short distance that the ...

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A Study on Problem, Causes and Aids of Cold Start Performance on Internal Combustion Engine

A Study on Problem, Causes and Aids of Cold Start Performance on Internal Combustion Engine

... poor cold start performance being assigned a high fuel ...the cold start and warm up phase of IC engine, particularly for a consumer whose driving habits are for a short distance that the ...

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Product Recommendation Using Social Media to E-Commerce with MicroBlogging: Cold Start

Product Recommendation Using Social Media to E-Commerce with MicroBlogging: Cold Start

... forcross-site cold-start product recommendation which aims to recommend products from e- commerce websites to users at social networking sites in ―cold-start‖ situations, aproblem which has ...

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Improving the Recommendation Accuracy for Cold Start Users in Trust-Based Recommender Systems

Improving the Recommendation Accuracy for Cold Start Users in Trust-Based Recommender Systems

... for cold start users. Cold start users are considered challenging to deal with in any recommender system because of the few ratings they have in their ...for cold start users ...

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Collaborative filtering and deep learning based recommendation system for cold start items

Collaborative filtering and deep learning based recommendation system for cold start items

... However it is widely known that CF approach suffers from sparsity and cold start (CS) problems. In the rating matrix only a small percentage of elements get values. Even the most popular items may have only ...

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Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge

Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge

... ing these algorithms and to tune the confidences of their extractions, we follow (Viswanathan et al., 2015) and train a stacked classifier using out- put and confidences of the extractors. We use as- sessment datasets ...

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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

... Recommendation systems are mainly used by e-commerce companies like Amazon.com, for promoting sales to potential customers by discovering items to customers that they might not have found by themselves. A good ...

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Personalized recommendation for cold start users

Personalized recommendation for cold start users

... this model, the feature vector of the user is directly dependent on the feature vector of his neighbor. This improves the accuracy of the system. The concept of trust propagation is also considered here which improve the ...

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Transferring User Interests Across Websites with Unstructured Text for Cold Start Recommendation

Transferring User Interests Across Websites with Unstructured Text for Cold Start Recommendation

... the cold-start problem. To address the cold- start issues commonly present in a collabora- tive ltering (CF) system, most existing cross- domain CF models require auxiliary rating data from ...

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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

... Now we consider constructing the interview process for cold-start collaborative filtering. Assume that a new user registers at the recommendation system and nothing is known about her. To capture the ...

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Enriching Cold Start Personalized Language Model Using Social Network Information

Enriching Cold Start Personalized Language Model Using Social Network Information

... We performed experiments on the Twitter dataset collected by Galuba et al. (2010). Twitter data have been used to verify models with different purposes (Lin et al., 2011; Tan et al., 2011). To emphasize the cold ...

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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

... To develop a recommender system, the collaborative filtering is the best known approach, which considers the ratings of users who have similar rating profiles or rating patterns. Consistently, it is able to compute the ...

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Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations

... item cold-start recommendation algorithm using deep neural ...for cold-start recommendation do not consider the extreme cold-start ...for cold-start recommendation ...

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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

... Therefore, the main difficulty of the cold-start spam problem is that there are no sufficient behav- iors of the new reviewers for constructing effec- tive behavioral features. Nevertheless, there is am- ...

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Cold Start SI Passenger Car Emissions from Real World Urban Congested Traffic

Cold Start SI Passenger Car Emissions from Real World Urban Congested Traffic

... enable cold start to occur into congested traffic, typical of the situation of people living alongside congested roads into a large ...The cold start was monitored through temperature ...

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Connecting social media to e commerce : cold start product recommendation using microblogging information

Connecting social media to e commerce : cold start product recommendation using microblogging information

... There has also been a large body of research work focusing specifically on the cold-start recommenda- tion problem. Seroussi et al. [6] proposed to make use of the information from users’ public profiles ...

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Cold Start Performance Enhancement of Motorcycle Catalytic Convertor by Latent Heat Storage System

Cold Start Performance Enhancement of Motorcycle Catalytic Convertor by Latent Heat Storage System

... 5) During next cold start (CS), after half an hour shut down of engine, the engine is started again & same procedure as that for warm up period is repeated. During engine shut down period, temperature ...

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Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems

Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems

... for cold start ...for cold start users who have no feedbacks at all in target do- main, while PMF is a single domain recommendation algo- rithm and its performance is totally dependent on the ...

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