نتایج جستجو برای: aware recommender system
تعداد نتایج: 2287766 فیلتر نتایج به سال:
Recommender Systems (RSs) are software tools and techniques providing suggestions for items, such as movies, CDs, or travels, to be of use to a user. In general, a recommendation can be more compelling and useful if the context of the user is known. For instance, in a travel recommender, the season of the travel, or the group composition, or the motivation of the travel are all important contex...
In the present era, the amount of information grows exponentially. So, finding the required information among the mass of information has become a major challenge. The success of e-commerce systems and online business transactions depend greatly on the effective design of products recommender mechanism. Providing high quality recommendations is important for e-commerce systems to assist users i...
In this paper we propose a recommender system that suggests the best moment to end a negotiation. The recommendation is made from a trust evaluation of every agent in the negotiation based on their past negotiation experiences. For this, we introduce the Trust Aware Negotiation Dissolution algorithm.
A context-aware recommender system (CARS) utilizes users’ context to provide personalized services. Contextual information can be derived from sensors in order improve the accuracy of recommendations. In this work, we focus on CARSs with high-dimensional contextual that typically impacts recommendation model, for example, by increasing model’s dimensionality and sparsity. Generating accurate re...
The high adoption of smart mobile devices among consumers is an opportunity for ecommerce retailers to increase their sales by recommending consumers with real time, personalized coupons which take into account the specific contextual situation of the consumer [5]. While context-aware recommender systems (CARS) have been widely analyzed [1,2] personalized pricing or discount optimization in rec...
Introduction: Today, researchers prefer to have most of their required information at their fingertips. Scholarly or research paper recommender systems are intelligent systems that aim to recommend the most appropriate scientific papers or resources based on users' needs. Past studies have shown that contextual information such as users', system' and environment' contexts influence the quality ...
Recommender systems aim to provide users with personalised recommendations of items based on their preferences. Such systems have during the last 15 years been applied in many domains and have enjoyed an increased popularity both in research communities and commerce. In this thesis our overlying aim is to work towards creating a recommender system for tourists visiting Trondheim. We begin this ...
Recommender technologies are crucial for the effective support of customers in online sales situations. The state-of-the-art research in recommender systems is not aware of existing theories in the areas of cognitive and decision psychology and thus lacks of deeper understanding of online buying situations. In this paper we present results from user studies related to serial position effects in...
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