Ontology Rules for Library Research Services Recommendation System

The Research on Personalized Recommendation Algorithm of Library Based on Big Data and Association Rules

In order to provide better information consistent with their preferences features for users, personalized recommendation technology has become an important research field of digital libraries and get more and more attention from searchers. Among them, the large data mining and association rules-based personalized recommendation technology is the focus of research in the field of recommendation....

Building an Ontology-Based Framework for Tourism Recommendation Services

The tourism product has an intangible nature in that customers cannot physically evaluate the services on offer until practically experienced. This makes having access to credible and authentic information about tourism products before the actual experience very valuable. An Ontology being a formal, explicit specification of concepts of a domain provides a viable platform for the development of...

The Melvyl Recommender Project: Developing Library Recommendation Services

Algorithm for Research Paper Recommendation System

In daily life we need many things to be searched over the internet, for search purpose there are many search engines are available. Whenever we search something we try to get the most relevant results. Recommender systems, generally uses COLLABORATIVE FILTERING ALGORITHM to fetch the results. This paper will discuss, how we can actually use different algorithms and developed such a powerful too...

Hebbian Algorithms for a Digital Library Recommendation System

generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-refereeing and evaluation by experts that work relatively well with paper documents, retrieval on the basis of metadata has some intrinsic shortcomings, which can only get worse as the number of documents in the libra...