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- W149969263 abstract "1.0 IntroductionToday many Information Retrieval systems are directly used by end- users'. Because of the absence of a human intermediary, users face a difficulty in search processing task, because they have to know how to interact directly with the system and cope with various kinds of problems: learning interface commands, using Boolean logic, preferring the more effective terms and designing and applying effective search strategies (Brajinik, Mizzaro and Tasso 2001, P. 343). So much research has been carried out into developing information retrieval (IR) systems with automated searching assistance in order to address some of the issues users have when searching. Automated assistance systems attempt to aid the user during the search process by either executing search tactics or offering assistance to the user to improve the probability of locating relevant information. These systems rely many times on implicit feedback (Jansen and McNeese 2005, P. 1480).So, help mechanism offered in IR Interface of Information Retrieval System is a kind of service which plays an essential role in helping users to effectively use the systems and to retrieve information as they desired.Automated assistance systems usually attempt to assist the users during the search process by either executing search tactics for or offering assistance to the user in order to help to locate relevant information.Automated Assistance can define as any expression, action, or response of an IR system with the aim of improving the information searching experience for the users as measured by some external metrics. These external metrics are usually relevance related ones, such as precision. (Korfhage 1997).2.0 Literature ReviewFor the study, few studies related to help mechanism functionality were presented which assist users' during their entire information retrieval task.Automated searching assistance resolved some of the issues users have when interacting with information retrieval (IR) systems. These searching include failure to obtain sufficient relevant information and not understanding searching features of the system. Automated assistance systems attempt to assist the user during the search process by either executing search tactics for or offering assistance to the user in order to locate relevant information. The success of these intelligent systems depends in part on their ability to get appropriate advice or action at opportune times (Jansen 2005, p. 910). Kreymer (2002) discuss the structure and component of the systems' help mechanism and claimed to be using natural language searching in fact used a wide range of information retrieval techniques from real natural language processing to Boolean searching along with that Non-expert users who directly interacting with an IR system, apply a limited portfolio of simple actions. They do not know how to respond in critical situations and they often do not even realize that their troubles are due to strategic problems. An interface to an IR system should therefore offer some strategic assistance, focusing user's attention on strategic issues and providing tools to generate better strategies. Because neither the user nor the system can autonomously solve the information problem, but they complement each other, the study proposes a collaborative coaching approach, in which the two partners cooperate: the user retains the control of the session and the system provides suggestions. The effectiveness of the approach is demonstrated by a conceptual analysis, a prototype knowledge-based system named FIRE (Brajnik et.al. 2002). Advances in search technology have meant that such arrangements can directly offer assistance to users beyond simply retrieving a set of text files. For example, such systems are now capable of inferring user interests by watching their interaction, offering hints about what terms could be used in a query, or reorganizing search results to make exploration of retrieved material more effectively. …" @default.
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- W149969263 date "2014-01-01" @default.
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- W149969263 title "Help Mechanism Systems Offered in IR Interface of E-journal Database Systems: A Users’ Perception Related to Help Mechanism in their Information Seeking Tasks" @default.
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