Integrating Query Expansion and Conceptual Relevance Feedback for Personalized Web Information Retrieval
نویسندگان
چکیده
Keyword based querying has been an immediate and efficient way to specify and retrieve related information that the user inquired. However, conventional document ranking based on an automatic assessment of document relevance to the query may not be the best approach when little information is given. In this poster. we propose an idea to integrate two existing techniques: query expansion and relevance feedback to achieve a concept-based information search for the Web. L 1998 Published by Elhevirr Science B.V. All rights reserved. K~~wlorcls: Query expansion: Relevance feedback; Document clustering
منابع مشابه
Query 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 کاملWeb Search Personalization Using Social Data
Web search that utilizes social tagging data suffers from an extreme example of the vocabulary mismatch problem encountered in traditional Information Retrieval (IR). This is due to the personalized, unrestricted vocabulary that users choose to describe and tag each resource. Previous research has proposed the utilization of query expansion to deal with search in this rather complicated space. ...
متن کاملQEA: A New Systematic and Comprehensive Classification of Query Expansion Approaches
A major problem in information retrieval is the difficulty to define the information needs of user and on the other hand, when user offers your query there is a vast amount of information to retrieval. Different methods , therefore, have been suggested for query expansion which concerned with reconfiguring of query by increasing efficiency and improving the criterion accuracy in the information...
متن کاملDocument 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 کاملPersonalized Query Expansion in Social Search
Social tagging systems have gained increasing popularity as a method of annotating and categorizing a wide range of different web resources. Search in social tagging systems suffers from an extreme example of the vocabulary mismatch problem encountered in traditional Information Retrieval (IR). This is due to the personalized, unrestricted vocabulary that users choose to describe and tag each r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Computer Networks
دوره 30 شماره
صفحات -
تاریخ انتشار 1998