Contextual Data Record
A Contextual Data Record is a data record that represents the background informaiton for an event.
- Context:
- It can include Temporal Context Data(temporal data), Location Context Data (location data), Social Context Data (social data), ...
- See: Context, Information.
References
2008
- (Adomavicius & Tuzhilin, 2008) ⇒ Gediminas Adomavicius, and Alexander Tuzhilin. (2008). “Context-aware Recommender Systems.” In: Proceedings of the 2008 ACM conference on Recommender systems. ISBN:978-1-60558-093-7 doi:10.1145/1454008.1454068
- QUOTE: The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce personalization, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into account any additional contextual information, such as time, location, or the company of other people (e.g., for watching movies or dining out). …
… existing approaches focus on recommending items to users or users to items and do not take into the consideration any additional contextual information, such as time, place, the company of other people (e.g., for watching movies). Motivated by this, in this chapter we explore the area of context-aware recommender systems (CARS), which deal with modeling and predicting user tastes and preferences by incorporating available contextual information into the recommendation process as explicit additional categories of data. These long-term preferences and tastes are usually expressed as ratings and are modeled as the function of not only items and users, but also of the context. …
- QUOTE: The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce personalization, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into account any additional contextual information, such as time, location, or the company of other people (e.g., for watching movies or dining out). …