When confronted with too many choices, our satisfaction decreases (Iyengar & Lepper, 2000). Recommender systems may help increase satisfaction by making certain items more salient than others. Content-based recommendations are based on previouslyB FerwerdaK SwelsenE YangBruceferwerda Com
Content-based filtering example If we talk about movie recommendations, for example, the attributes may be the length of a film, its genre, cast, director, and so on.Say, a user has watched such movies as “Heat,”“Goodfellas,” and“The Irishman.” A content-based system will probably...
Most of the researchin recommender systems has focused on efficient and accu-rate algorithms for computing recommendations using meth-ods such as collaborative filtering [4, 5], content-based clas-sifier induction [9, 8], and hybrids of these two techniques[1, 7]. However, in order for ...
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Any interactions the “closeness” measured by the given similarity metric match user has with a system can possibly affect the outcome of the the users current content of information need? recommendations. The user can benefit from knowing how Providing descriptions of the data processed in ...
Anyone you share the following link with will be able to read this content:Get shareable link Provided by the Springer Nature SharedIt content-sharing initiative Keywords Patient-reported outcome Patient satisfaction Value-based healthcare Knee arthroplasty Expectation management Quality measurementDownload...
describing dataset content, naming, order of variables, etc. Analysis results compiled using ADaM principles Source:CDISC ADaM also uses two types of data structures that are used for dataset submissions and support all main analysis methods: the Subject-Level Analysis Dataset (ADSL) and the Basic...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
This is a preview of subscription content, References Aquino, K., Tripp, T. M., & Bies, R. J. (2006). Getting even or moving on? Power, procedural justice, and types of offense as predictors of revenge, forgiveness, reconciliation, and avoidance in organizations.Journal of Applied Psychol...
(1999). Re-garding the type of the RS, we use thetypical categorization in literature: col-laborative filtering, content-based andknowledge-based approaches as well ashybrid systems. With respect to the goalsof explanation, we use the classificationof (Tintarev and Masthoff, 2007). Re-gar...