Relevance Feedback based on Context Information
نویسندگان
چکیده
In the area of information retrieval the concept of relevance feedback is used to provide high relevant documents to the user. The process of gaining relevance data is usually based on explicit Relevance Feedback. But it turned out, that users are usually not willing to provide such data. This paper describes a Relevance Feedback approach that supports the users with query expansion terms by using implicit Relevance Feedback data. The Relevance Feedback approach is based on a neural net, which learns the context of a search. The approach is integrated in the DAFFODIL framework. Within DAFFODIL the concept of relevance paths is used for the implementation of an implicit Relevance Feedback mode. The chosen algorithms and data structures indicate a high performance for this approach.
منابع مشابه
Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback
Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...
متن کاملQuery expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
متن کاملInformation Retrieval System Assigning Context to Documents by Relevance Feedback
In this paper we have proposed user feedback driven Information retrieval model. The proposed model assigns weights to the retrieved documents based on its context. The documents are re-ranked based on the user profile and his feedback. Proposed Information retrieval system uses vector space model and expert system. Need for user profile and relevance of information while searching and extracti...
متن کاملTypological Description of Written Formative Feedback on Student Writing in an EFL Context
This study is a typological description of written formative feedback in an EFL context in Iran. Twenty M.A. students of TEFL participated in the study. They were required to summarize a scholarly article in each session on which the instructor would provide written corrective feedback (CF). Written formative comments were extracted, coded, and categorized into various types, such as asking for...
متن کاملRelevance Feedback and Personalization: A Language Modeling Perspective
Many approaches to personalization involve learning short-term and long-term user models. The user models provide context for queries and other interactions with the information system. In this paper, we discuss how language models can be used to represent context and support context-based techniques such as relevance feedback and query disambiguation.
متن کامل