[PDF][PDF] 个性化推荐系统的研究进展
刘建国， 周涛， 汪秉宏 - 自然科学进展, 2009 - nsfc.gov.cn
摘要互联网技术的迅猛发展把我们带进了信息爆炸的时代. 海量信息的同时呈现,
一方面使用户很难从中发现自己感兴趣的部分, 另一方面也使得大量少人问津的信息成为网络中 …
一方面使用户很难从中发现自己感兴趣的部分, 另一方面也使得大量少人问津的信息成为网络中 …
Anomaly detection: A survey
Anomaly detection is an important problem that has been researched within diverse
research areas and application domains. Many anomaly detection techniques have been …
research areas and application domains. Many anomaly detection techniques have been …
Evaluating collaborative filtering recommender algorithms: a survey
Due to the explosion of available information on the Internet, the need for effective means of
accessing and processing them has become vital for everyone. Recommender systems …
accessing and processing them has become vital for everyone. Recommender systems …
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
G Adomavicius, A Tuzhilin - IEEE transactions on knowledge …, 2005 - ieeexplore.ieee.org
This paper presents an overview of the field of recommender systems and describes the
current generation of recommendation methods that are usually classified into the following …
current generation of recommendation methods that are usually classified into the following …
Aesthetic-based clothing recommendation
Recently, product images have gained increasing attention in clothing recommendation
since the visual appearance of clothing products has a significant impact on consumers» …
since the visual appearance of clothing products has a significant impact on consumers» …
Anomaly detection for discrete sequences: A survey
V Chandola, A Banerjee… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
This survey attempts to provide a comprehensive and structured overview of the existing
research for the problem of detecting anomalies in discrete/symbolic sequences. The …
research for the problem of detecting anomalies in discrete/symbolic sequences. The …
[PDF][PDF] Outlier detection: A survey
Outlier detection has been a very important concept in the realm of data analysis. Recently,
several application domains have realized the direct mapping between outliers in data and …
several application domains have realized the direct mapping between outliers in data and …
A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis
K Choi, D Yoo, G Kim, Y Suh - electronic commerce research and …, 2012 - Elsevier
Many online shopping malls in which explicit rating information is not available still have
difficulty in providing recommendation services using collaborative filtering (CF) techniques …
difficulty in providing recommendation services using collaborative filtering (CF) techniques …
A social network-based recommender system (SNRS)
J He, WW Chu - Data mining for social network data, 2010 - Springer
Social influence plays an important role in product marketing. However, it has rarely been
considered in traditional recommender systems. In this chapter, we present a new paradigm …
considered in traditional recommender systems. In this chapter, we present a new paradigm …
Learning to rank features for recommendation over multiple categories
Incorporating phrase-level sentiment analysis on users' textual reviews for recommendation
has became a popular meth-od due to its explainable property for latent features and high …
has became a popular meth-od due to its explainable property for latent features and high …