The rapid development of Internet technologies in recent decades has imposed a heavy
information burden on users. This has led to the popularity of recommender systems, which …

A recommender system has an obvious appeal in an environment where the amount of on-
line information vastly outstrips any individual's capability to survey. Music recommendation …

We propose a novel hybrid recommendation algorithm for addressing the well-known cold-
start problem in Collaborative Filtering (CF). Our algorithm makes use of Cross-Level …

In order to make personalized recommendations, many collaborative music recommender
systems (CMRS) focused on capturing precise similarities among users or items based on …

At present, MapReduce is the most popular programming model for Big Data processing. As
a typical open source implementation of MapReduce, Hadoop is divided into map, shuffle …

With the huge electronic data's explosion in the commercial and the service area, the
collaborative filtering technology attracts many of researchers' attention. In this paper, we …

In this paper, we revisit the role of the image of the absolute conic (IAC) in recovering the
camera geometry. We derive new constraints on IAC that advance our understanding of its …

Aiming at the disadvantages of user-based collaborative filtering algorithm and item-based
collaborative filtering algorithm on the instance of userpsilas rating datapsilas extreme …

Users experience frustration when their reasonable queries retrieve no relevant documents.
We call these weak queries and retrievals. Improving their effectiveness is an important …

In this paper, we give a preliminary report regarding a precision recommendation method for
massive public digital cultural resources, which help people find the resources they are …