Using LSA Semantic Fields to Predict Eye Movement on Web Pages
نویسنده
چکیده
This paper outlines a new method for estimating the visual saliency different areas displayed on a web page. Latent Semantic Analysis is used to calculate Semantic Fields values for any (x, y) coordinate point on a web page based on the structure of that web page. These Semantic Field values were then used to predict eye-tracking data that was collected from 49 participants’ goal-orient search tasks on a total of 1842 web pages. Semantic Field values were found to predict the participants’ eye-tracking data.
منابع مشابه
Semantic models and corpora choice when using Semantic Fields to predict eye movement on web pages
Ten models are compared in their ability to predict eye-tracking data that was collected from 49 participants’ goal-oriented search tasks on a total of 1809 Web pages. Forming the basis of six of these models, three semantic models and two corpus types are compared as components for the Semantic Fields model (Stone and Dennis, 2007) that estimates the semantic salience of different areas displa...
متن کاملComparative Analysis of Semantic Models and Corpora Choice when using Semantic Fields to Predict Eye Movement on Webpages
Nine models are compared in their ability to predict eyetracking data that was collected from 49 participants’ goaloriented search tasks on a total of 1809 webpages. Forming the basis of six of these models, three semantic models and two corpus types are compared as components for the Semantic Fields model (Stone and Dennis, 2007) that estimates the semantic saliency of different areas displaye...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کاملDiffusion of latent semantic analysis as a research tool: A social network analysis approach
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from information retrieval to machine learning and so on. In this paper, we chart the development and diffusion of LSA as a research tool using Social Network Analysis (SNA) approach that reveals the social structure of a di...
متن کاملQuery Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007