TWIN: Personality-based Intelligent Recommender System
نویسندگان
چکیده
منابع مشابه
TWIN: Personality-based Intelligent Recommender System
This paper presents the “Tell me What I Need” (TWIN) Personality-based Intelligent Recommender System, the goal of which is to recommend items chosen by like-minded (or “twin”) people with similar personality types which we estimate from their writings. In order to produce recommendations it applies the results achieved in the personality from the text recognition research field to Personality-...
متن کاملUser Profile Construction in the TWIN Personality-based Recommender System
The information overload experienced by people who use online services and read usergenerated content (e.g. product reviews and ratings) to make their decisions has led to the development of the so-called recommender systems. We address the problem of the large increase in the user-generated reviews, which are added to each day and consequently make it difficult for the user to obtain a clear p...
متن کاملEvaluating the Similarity Estimator component of the TWIN Personality-based Recommender System
With the constant increase in the amount of information available in online communities, the task of building an appropriate Recommender System to support the user in her decision making process is becoming more and more challenging. In addition to the classical collaborative filtering and content based approaches, taking into account ratings, preferences and demographic characteristics of the ...
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The prosperity of e-commerce has changed the whole outlook of traditional trading behavior. More and more people are willing to conduct Internet shopping. However, the massive product information provided by the Internet Merchants causes the problem of information overload and this will reduces the customer’s satisfaction and interests. To overcome this problem, a recommender system based on we...
متن کاملSoftware architecture of an intelligent recommender system
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent recommender systems have been proposed. In this paper we give a formal description of a recommender system for the runtime selection of algorithms. We give a functional description of the system, both in an abstract mat...
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ژورنال
عنوان ژورنال: Journal of Intelligent & Fuzzy Systems
سال: 2015
ISSN: 1064-1246,1875-8967
DOI: 10.3233/ifs-141484