Titlebook: Web Technologies and Applications; 18th Asia-Pacific We Feifei Li,Kyuseok Shim,Guanfeng Liu Conference proceedings 2016 Springer Internatio

能干

書目名稱Web Technologies and Applications影響因子(影響力)




書目名稱Web Technologies and Applications影響因子(影響力)學(xué)科排名




書目名稱Web Technologies and Applications網(wǎng)絡(luò)公開度




書目名稱Web Technologies and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web Technologies and Applications被引頻次




書目名稱Web Technologies and Applications被引頻次學(xué)科排名




書目名稱Web Technologies and Applications年度引用




書目名稱Web Technologies and Applications年度引用學(xué)科排名




書目名稱Web Technologies and Applications讀者反饋




書目名稱Web Technologies and Applications讀者反饋學(xué)科排名

bacteria

Spica: A Path Bundling Model for Rational Route Recommendationdel based on a real-world trajectory data set generated by totally 44,593,706 passage records in a period of a week, and evaluate the performance of our model by conducting extensive experiments. The recommended routes are effective and JT gives evidence of its rationality over previous ways.

增長

FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systemsiple datasets is conducted to evaluate the performance of the proposed methods. The experimental results demonstrate the factored hybrid similarity methods (FHSM) achieve a superior recommendation quality in comparison with state-of-the-art methods.

Expediency

A Workload-Driven Vertical Partitioning Approach Based on Streaming Framework then obtain the optimal partitioning scheme by a cost model. The experimental results show that . has good partitioning quality and lower time complexity than existing vertical partitioning method. It is an efficient partitioning method for processing the dynamic and large scale queries.

摸索

Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networkscommendation system based on the dataset from Microsoft Academic Graph. Performance evaluation based on the assessments of 20 volunteers show that the proposed paper recommendation methods outperform the conventional search engine algorithm such as PageRank. The efficiency of the proposed algorithms are verified by evaluation.

FANG

Spica: A Path Bundling Model for Rational Route Recommendationdel based on a real-world trajectory data set generated by totally 44,593,706 passage records in a period of a week, and evaluate the performance of our model by conducting extensive experiments. The recommended routes are effective and JT gives evidence of its rationality over previous ways.

farewell

無聊的人

A Context-Aware Method for Top-k Recommendation in Smart TVaset in many respects, and provide details on the experimentation and evaluation framework. Result shows that RSTV performs better comparing to many other baselines. We analyse the influence of some of the parameters as well as the contextual granularity.

Immunization

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