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

袋鼠

A Context-Aware Method for Top-k Recommendation in Smart TVe video recommendation model for smart TV service (RSTV) based on the developed Latent Dirichlet allocation(LDA) to make personalized top-k video recommendation. In addition, we present proper solutions for some critical problems of the smart TV recommender system, such as sparsity problem and conte

Foment

Personalized Resource Recommendation Based on Regular Tag and User Operation and affect the accuracy of recommendation. To address these problems, we consider from the perspective of resource provider and propose a resource recommendation framework based on regular tags and user operation feedbacks. Based on these concepts, we design the user feature representation integrat

羽飾

充氣球

Insufficient

Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networksation, which intends to recommend the most valuable literature in a domain area to the users. In this paper, we show that exploring the relationship of collaboration between authors and the citation between publications can reveal implicit relevance between papers. By studying the community structur

Genetics

An Approach for Cross-Community Content Recommendation: A Case Study on Dockeredented level. However, the rapid expansion of open source communities results in a lot of redundant contents within the community, and most importantly, among communities since they overlap each other with shared issues. On the one hand, redundant contents that are expressed in informal free texts

暖昧關(guān)系

Improving Recommendation Accuracy for Travelers by Exploiting POI Correlationsly focus on local users. According to user’s activity areas, e.g., home and workplace, nearby locations have higher probability to be recommended. However, in many practical scenarios such as urban tourism, target users are usually out-of-town travelers. Their preferences are hard to model due to sp

Dissonance

Scalable Private Blocking Technique for Privacy-Preserving Record Linkagesubject in many application areas, including business, government, and health. When we collect data which is about people from these areas, integrating such data across organizations can raise privacy concerns. To prevent privacy breaches, ideally records should be linked in a private way such that

Stress-Fracture

Charade

A Hybrid Method for POI Recommendation: Combining Check-In Count, Geographical Information and Revieons of users to share their locations or experiences. Point of Interest (POI) recommendation plays an important role in exploring attractive locations. POI recommendation is associated with multi-dimensional factors, such as check-in counts, geographical influence, and review text. Although GeoMF ca