page visits etc. There are three cases of cold start: New community: refers to the start-up of the recommender, when, although a catalogue of items might...

information filtering system that provides suggestions for items that are most pertinent to a particular user. Recommender systems are particularly useful...

Indian Armed Forces. Cold start (recommender systems), the problem of recommending items to users with insufficient data "Cold Start" (Pole to Pole with...

factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing the user-item...

Hadjiefthymiades, Stathes (March 2014). "Facing the cold start problem in recommender systems". Expert Systems with Applications. 41 (4): 2065–2073. doi:10.1016/j...

Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about...

besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has two senses, a narrow one and a more...

McDonald), people recommender systems deal with recommending people to people on social media. Aspects making people recommender systems distinct from traditional...

Starting fluid is a volatile, flammable liquid which is used to aid the starting of internal combustion engines, especially during cold weather or in...

"Pairwise preference regression for cold-start recommendation". Proceedings of the third ACM conference on Recommender systems - RecSys '09. p. 21. doi:10.1145/1639714...

presentation, and setup of the system out of the box. FTUEs are directly related to the well-known cold start problem in recommender systems, which attempts to balance...

item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity between items calculated using people's ratings...

1980s, executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS) evolved from the single...

MovieLens is a web-based recommender system and virtual community that recommends movies for its users to watch, based on their film preferences using...

Cold fusion is a hypothesized type of nuclear reaction that would occur at, or near, room temperature. It would contrast starkly with the "hot" fusion...

smaller niches. Not all recommender systems are equal, however, when it comes to expanding the long tail. Some recommenders (i.e. certain collaborative...

which do not are cold-swappable or cold-pluggable. Although the broader concept of hot swapping can apply to electrical or mechanical systems, it is usually...

website Delicious, has shown that collaborative tagging systems exhibit a form of complex systems (or self-organizing) dynamics. Although there is no central...

behavior of the system, because they often contribute the vast majority of the system's energy, especially in low-dimensional systems. Still, this must...

Engineering at the University of Minnesota, Twin Cities specializing in recommender systems and online communities. GroupLens also works with mobile and ubiquitous...

zero results through the filtering system. Scoring systems – Scoring systems are often found on recommender systems and allow users to rate products for...

Intuitionistic logic – Various systems of symbolic logic Kripke semantics – Formal semantics for non-classical logic systems Relevance theory – Theory of...

Filtering, RecSys ‘07 Proceedings of the 2007 ACM Conference on Recommender Systems, 49-56 Bamshad Mobasher, Robin Burke, Chad Williams, and Runa Bhaumik...

Systems theory is the transdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial...

The Cold War emerged from the breakdown of relations between two of the primary victors of World War II: the United States and Soviet Union, along with...

results in a significant difference in the ranking of the "top-10" most recommended movies for a user. Prizes were based on improvement over Netflix's own...

the domain of the information space. Active learning (machine learning) Cold start Collaborative filtering Collective intelligence Long tail Personalized...

genres of music, such as world and classical music, have 300–450 genes. The system depends on a sufficient number of genes to render useful results. Each gene...

that is initially hot can freeze faster than the same liquid which begins cold, under otherwise similar conditions. There is disagreement about its theoretical...

two main types of causes. It classically occurs from exposure to cold weather and cold water immersion. It may also occur from any condition that decreases...