Incrementally improving dataspaces based on user feedback
نویسندگان
چکیده
منابع مشابه
Incrementally improving dataspaces based on user feedback
One aspect of the vision of dataspaces has been articulated as providing various benefits of classical data integration with reduced up-front costs. In this paper, we present techniques that aim to support schema mapping specification through interaction with end users in a pay-as-you-go fashion. In particular, we show how schema mappings, that are obtained automatically using existing matching...
متن کاملRRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features
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...
متن کاملWeb pages ranking algorithm based on reinforcement learning and user feedback
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...
متن کاملImproving Organizational Memories Through User Feedback
The benefits of an organizational memory are ultimately determined by the usefulness of the organizational memory as perceived by its users. Therefore, an improvement of an organizational memory should be measured in the added perceived usefulness. Unfortunately, the perceived usefulness has many impact factors (e.g., the precision of the user query, the urgency with which the user needs inform...
متن کاملImplicit User Feedback based on Fuzzy ART
This paper is focused on the information retrieval area. Implicit user feedback is today very important part of this research area. Increase of the amount of information also increases the time to find relevant information. Currently most Web search engines produce the same results independently of who the user is. The article includes system design, which implements an implicit users feedback ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Systems
سال: 2013
ISSN: 0306-4379
DOI: 10.1016/j.is.2013.01.006