Use of query reformulation and relevance feedback by Excite users
نویسندگان
چکیده
Examines the use of query reformulation, and particularly the use of relevance feedback by users of the Excite Web search engine. A total of 985 user search sessions from a data set of 18,113 user search sessions containing 51,473 queries were examined. Includes a qualitative and quantitative analysis of 191 user sessions including more than one query, to examine patterns of user query reformulation; and second, all 804 user sessions including relevance feedback were examined. Results show limited use of query reformulation and relevance feedback by Excite users ± only one in five users reformulated queries. Most relevance feedback sessions were successful. Identifies the most common pattern of searching and discusses implications for Web search system design.
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 کاملAnalysis of users’ query reformulation behavior in Web with regard to Wholis-tic/analytic cognitive styles, Web experience, and search task type
Background and Aim: The basic aim of the present study is to investigate users’ query reformulation behavior with regard to wholistic-analytic cognitive styles, search task type, and experience variables in using the Web. Method: This study is an applied research using survey method. A total of 321 search queries were submitted by 44 users. Data collection tools were Riding’s Cognitive Style A...
متن کاملQuery Reformulation for Content Based Multimedia Retrieval in MARS
Unlike traditional database management systems, in multimedia databases that support contentbased retrieval over multimedia objects, it is di cult for users to express their exact information need directly in the form of a precise query. A typical interface supported by content-based retrieval systems allows users to express their information need in the form of examples of objects similar to t...
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 کاملRelevance Feedback versus Local Context Analysis as Term Suggestion Devices: Rutgers' TREC-8 Interactive Track Experience
Query formulation and reformulation is recognized as one of the most difficult tasks that users in information retrieval systems are asked to perform. This study investigated the use of two different techniques for supporting query reformulation in interactive information retrieval: relevance feedback and Local Context Analysis, both implemented as term−suggestion devices. The former represents...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Internet Research
دوره 10 شماره
صفحات -
تاریخ انتشار 2000