Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...

introduction: since users have a critical role in the success of a hospital information system, and also considering software companies as information system service providers-not only product sellers, this study was conducted to evaluate the hospital information system (his) software based on user requirements in iran. methods: through a descriptive study, 5 vendors, which had the best selling...

Recommender systems are the systems that try to make recommendations to each user based on performance, personal tastes, user behaviors, and the context that match their personal preferences and help them in the decision-making process. One of the most important subjects regarding these systems is to increase the system accuracy which means how much the recommendations are close to the user int...

technology acceptance model is a widely accepted model for explaining user behavior in technology adaptation. the coping model of user adaptation defines user adaptation as the cognitive and behavioral efforts performed by users to cope with significant it events that occur in their work environment. this paper based on the combination of the mentioned models proposes a model for explicating fa...

The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. In this paper, a ranking algorithm based on the reinforcement le...

Recommender systems are important tools for users to identify their preferred items and for businesses to improve their products and services. In recent years, the use of online services for selection and reservation of hotels have witnessed a booming growth. Customer’ reviews have replaced the word of mouth marketing, but searching hotels based on user priorities is more time-consuming. This s...