(redirected from recommenders)
Also found in: Dictionary, Thesaurus.
References in periodicals archive ?
Evaluations occurred on the first day of each experimental week in order to assess how novice users interact with the new products and software, while the assessment of utilizing flash flood recommenders within the flash flood warning process was conducted throughout the week.
Recommender systems are decision support systems used in e-commerce to help navigate customers to the right product (Bauer & Nanopoulos, 2014; Cheung, Kwok, Law, & Tsui, 2003; Chung, Hsu, & Huang, 2013; Ekstrand, 2010; Gan & Jiang, 2013)
Combining collaborative fltering and clustering for implicit recommender system," in Proc.
Besides, the majority rule based schemes show inefficiency if majority of the recommenders are dishonest or the deviation in recommendation is minor.
These knowledge management systems have recorded information for implementing a recommender system.
Wei Li, Justin Matejka, Tovi Grossman, and George Fitzmaurice then describe a recent expansion of Autodesk's popular AutoCAD software application in Deploying CommunityCommands: A Software Command Recommender System Case Study.
This paper also gives first level analysis of various filters that can be developed along with the design of recommender system in order to generate a more refined and relevant choice sets.
Hotel values collected from recommenders and processed with importance values are being used to construct the assessment matrix, A_Konak [[t.
In RRESP, Recomm_ID says the recommender's identity, Ti is the recommended value of recommender i, t is the time recommended value recorded, [n.
While it's been around for a while, ExLibris' bX article recommender is an add-on product that can be integrated with Primo or other company's discover layers.
For evolving the more knowledgeable recommenders who have similar LSs pattern, we combined both preferences LSs and KLs together as hybrid CF-LS-KL scheme using appropriate a value.
After the introductory part, it continues with Section 2 that provides brief overview on some theoretical and applicable solutions regarding OSN, tourists' preferences and recommenders in tourism domain.