Recommender systems classification Clause Samples

Recommender systems classification. Apart from the main properties of these recommendation techniques, these subsections also include the most relevant approaches for developing the personal recommendations for stakeholders in OpenReq. These approaches have been found doing a systematic mapping following a snowballing process which used as seed the work of ▇▇▇▇▇▇▇ (2010). As stated before, we only plan to cite here the most relevant approaches for the development of OpenReq. The full snowballing results (which include more than 90 papers) are aimed to be included in a publication. Therefore, we will not mention in this section some works identified about the application of RS in practice (e.g., Netflix in (▇▇▇▇▇ 2008) and (▇▇▇▇ 2009), and Amazon in (Linden 2003)) since: 1. The recommendations of these RS are quite different from the ones to be done in OpenReq; and 2. As these RS are usually trade-market secrets, the few publications found probably only explain just a small part of the RS used in these commercial systems.