Context Style Explanation for Recommender Systems
نویسندگان
چکیده
منابع مشابه
Trust-inspiring explanation interfaces for recommender systems
A recommender system’s ability to establish trust with users and convince them of its recommendations, such as which camera or PC to purchase, is a crucial design factor especially for e-commerce environments. This observation led us to build a trust model for recommender agents with a focus on the agent’s trustworthiness as derived from the user’s perception of its competence and especially it...
متن کاملExplanation for Recommender Systems: Satisfaction vs. Promotion
There is much work done on Recommender Systems, systems that automate the recommendation process; however there is little work done on explaining recommendations. The only study we know did an experiment measuring which explanation system increased user’s acceptance of the item how much (promotion). We took a different approach and measured which explanation system estimated the true quality of...
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Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...
متن کاملExplanation-based Ranking in Opinionated Recommender Systems
Explanations can help people to make better choices, but their use in recommender systems has so far been limited to the annotation of recommendations after they have been ranked and suggested to the user. In this paper we argue that explanations can also be used to rank recommendations. We describe a technique that uses the strength of an item’s explanation as a ranking signal – preferring ite...
متن کاملContext-Aware Recommender Systems Evaluation
As the amount of data provided by various software systems increases, there is a need to offer a filtered set of items personalized to user's needs. To enhance user's comfort and thus to satisfy him, we call for recommender system. Recommender systems suggest a set of items that a user might be interested in or might find them useful. Basically, accomplishing recommendation task consists of two...
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ژورنال
عنوان ژورنال: Journal of Information Processing
سال: 2019
ISSN: 1882-6652
DOI: 10.2197/ipsjjip.27.720