policy making and planning for agricultural development and conditional improvement of rural and farmers requires accurate and real time information and statistics. in iran, accessing relevant agriculture statistics is mainly gained through expert knowledge and traditional methods. studies show that these have a high percent of error. this research has been aimed so to, by using new methods inc...

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...

Usually, when analyzing data that have not been processed or filtered yet, it can be observed that not all the data have equal importance. Thus, it is common to find relevant data surrounded by non relevant one. This occurs when analyzing textual information due to its intrinsic nature: texts contain words that provide a lot of information about the subject matter, whereas they contain other wo...

We develop an application architecture for interactive, bilateral, semi-structured, multi-attribute electronic negotiations in business-to-business environments. We analyze the information and the process flow for this type of negotiations. We introduce the 'Negotiation Engine' as the core component of the application and discuss its functionality. We analyze relevant application scenarios and ...

The increasing flood of documentary information through the Internet and other information sources challenges the developers of information retrieval systems. It is not enough that an IR system is able to make a distinction between relevant and non-relevant documents. The reduction of information overload requires that IR systems provide the capability of screening the most valuable documents o...

Context-specific document recommender systems rely on the accurate identification of context descriptors from unstructured textual information to identify highly relevant documents. In this paper, we propose two term-weighting measures, “normal distance” and “adjusted inverse polysemy”, to enable the retrieval of relevant documents with higher precision. We analyze the performance of the propos...

Web Search Engines provide a huge number of answers in response to a user query, many of which are not relevant, whereas some of the most relevant ones may not be found. In the literature several approaches have been proposed in order to help a user to find the information relevant to his/her real needs on the Web. To achieve this goal the individual Information Behavior can been analyzed to ’k...

This paper proposes a study and comparison among a variety of metadata types in order to identify the most relevant pieces of information in order to identify the most relevant pieces of information in personalized ranking of movie items. We used four algorithms available in the literature to analyze the descriptions, and compared each other using the metadata extracted from two datasets, namel...