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  1 - Provide a basic method for estimating software projects based on logical transactions
  mehrdad shahsavari ali mahjour
  In this study, in order to determine the level of visual attention of users to the right menu and to the left menu of web pages, the number of dazzles on the right and left menu was measured using an eye tracker to determine which menu is preferable to users in terms of More

  In this study, in order to determine the level of visual attention of users to the right menu and to the left menu of web pages, the number of dazzles on the right and left menu was measured using an eye tracker to determine which menu is preferable to users in terms of visual attention. contract. Method: 116 pages containing two right and left menus were displayed in the form of 3 sets of Persian-English and English-Persian for 30 subjects and the subjects were required to find a word in the menus. Data related to the number of users' dazzle on each menu, which was an indication of their visual attention to that menu, was recorded and collected using the gaze tracker. Results: The total number of user idiots on the menus of the English collection did not differ according to the order of the menus (right or left). But the total number of user wonders on the menus of the Persian collection, the Persian-English collection and in general in all the pages of the three collections was different due to the jump in the arrangement of the menus (right or left) and on the right menu more than the left menu. Conclusion: Considering the higher number of dumbbells on the right menu in this study and the proven advantages of the right menu, as well as the fact that the advantage of having a left-hand menu in China has been in cultures whose mother tongue is read from left to right. Although the results of previous studies on the high speed of homework and interaction with the left-hand menu are inconsistent, web designers can be advised to use the right-hand menu when designing native websites. Manuscript profile
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  2 - The Surfer Model with a Hybrid Approach to Ranking the Web Pages
  Javad Paksima Homa  Khajeh
  10.7508/jist.2016.03.008
  Users who seek results pertaining to their queries are at the first place. To meet users’ needs, thousands of webpages must be ranked. This requires an efficient algorithm to place the relevant webpages at first ranks. Regarding information retrieval, it is highly impor More

  Users who seek results pertaining to their queries are at the first place. To meet users’ needs, thousands of webpages must be ranked. This requires an efficient algorithm to place the relevant webpages at first ranks. Regarding information retrieval, it is highly important to design a ranking algorithm to provide the results pertaining to user’s query due to the great deal of information on the World Wide Web. In this paper, a ranking method is proposed with a hybrid approach, which considers the content and connections of pages. The proposed model is a smart surfer that passes or hops from the current page to one of the externally linked pages with respect to their content. A probability, which is obtained using the learning automata along with content and links to pages, is used to select a webpage to hop. For a transition to another page, the content of pages linked to it are used. As the surfer moves about the pages, the PageRank score of a page is recursively calculated. Two standard datasets named TD2003 and TD2004 were used to evaluate and investigate the proposed method. They are the subsets of dataset LETOR3. The results indicated the superior performance of the proposed approach over other methods introduced in this area. Manuscript profile