Web Search using Improved Concept Based Query Refinement
نویسندگان
چکیده
منابع مشابه
Identifying Web Search Query Reformulation using Concept based Matching
Web search users frequently modify their queries in hope of receiving better results. This process is referred to as “Query Reformulation”. Previous research has mainly focused on proposing query reformulations in the form of suggested queries for users. Some research has studied the problem of predicting whether the current query is a reformulation of the previous query or not. However, this w...
متن کاملInteractive Web Search by Graphical Query Refinement
We propose a new Web search system that helps users clarify their information needs through interaction. The system represents the user’s information needs using a query graph: a set of graph objects. This graph is presented to the user and interactively refined until the user is satisfied with the documents retrieved. In this way, the user can find the desired documents even if his original in...
متن کاملQuery Refinement for Domain-Specific Web Search
The expansion of the Internet and the number of its users has raised many new problems in information retrieval. The most common way to find information in the web is using web search engines. However, gathering information from the web is a difficult task for a novice user even if he uses the search engines. The user must have experience and skill to find the relevant pages from the large numb...
متن کاملImprovising Web Search using Concept based Clustering
The user profile is an elementary component of any application based on personalization. The existing strategies of user profile considers only objects which interests the user (positive preferences of the user), and not on objects which does not interest the user (negative preferences of the user). This paper focuses on personalization in search engine and the proposed approach consists of thr...
متن کاملConcept-Based Web Search
Traditional web search engines are keyword-based. Such a mechanism is effective when the user knows exactly the right words in the web pages they are looking for. However, it doesn’t produce good results if the user asks for a concept or topic that has broader and sometimes ambiguous meanings. In this paper, we present a framework that improves web search experiences through the use of a probab...
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: International Journal of Computer and Communication Technology
سال: 2013
ISSN: 2231-0371,0975-7449
DOI: 10.47893/ijcct.2013.1193