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Proceedings ArticleDOI

Predicting demographic attributes from web usage: Purpose and methodologies

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TLDR
This paper discusses detailed review of various preprocessing, prediction and recommendation techniques used to predict demographic attributes of users through web usage mining.
Abstract
Web usage mining is a way of identifying and analyzing how users interact with a web site. This browsing data collected as web log, which is first preprocessed and then number of data mining methods such as classification, clustering and association rule mining etc. applied to find out interesting patterns. User's demographic information plays important role in designing business strategies, advertisement etc. Previous research shows some techniques to predict these demographic attributes (age gender etc.). This paper discusses detailed review of various preprocessing, prediction and recommendation techniques.

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Citations
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Proceedings ArticleDOI

Inferring Social-Demographics of Travellers based on Smart Card Data

TL;DR: This study investigates the pattern of individual mobility patterns and its relationship with social-demographics, and extracts travel features from the raw smart card data, including spatial, temporal and travel mode features, which capture the travel variability of travellers.
Book ChapterDOI

A Survey on Analysis of User Behavior on Digital Market by Mining Clickstream Data

TL;DR: A survey of different methodologies and parameters used in analyzing the behavior of a user through Clickstream data is presented, outlining the methods used so far for clustering the users based on mining their interests.
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Do gender, age and frequency of internet access matter on the perceived importance of hotel website features?

TL;DR: In this article, the authors measured the relative importance of hotel website features based on users' perceptions and analyzed the impact of gender, age, and frequency of Internet access on the given importance of features.
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Deep Learning for Demographic Prediction based on Smart Card Data and Household Survey

TL;DR: This study proposes to use a convolutional neural network for automatic feature extraction and demographic prediction, including age group, gender, income level and car ownership, using smart card data and household survey to infer demographics of passengers.
Journal ArticleDOI

A systematic review on data preprocessing and pattern discovery of web usage mining

TL;DR: Information obtained from web usage mining does the task of finding the hidden important information about user behaviour, and facilitate more effective browsing, to enhance web design, its page surfing pattern and other valuable information which is used for various purposes.
References
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Journal ArticleDOI

Web mining for web personalization

TL;DR: This article introduces the modules that comprise a Web personalization system, emphasizing the Web usage mining module, and presents a review of the most common methods that are used as well as technical issues that occur.
Journal ArticleDOI

Web Usage Mining as a Tool for Personalization: A Survey

TL;DR: This paper is a survey of recent work in the field of web usage mining for the benefit of research on the personalization of Web-based information services, focusing on the problems identified and the solutions that have been proposed.
Journal ArticleDOI

The impact of culture and gender on web sites: an empirical study

TL;DR: Analysis indicates that perception and satisfaction differences exist between the cultural clusters and gender groups within those cultures --- Asia, Europe, Latin & South America, and North America and that females within certain cultures have widely different preferences regarding web site attributes.
Proceedings ArticleDOI

Demographic prediction based on user's browsing behavior

TL;DR: This paper made a first approach to predict users' gender and age from their Web browsing behaviors, in which the Webpage view information is treated as a hidden variable to propagate demographic information between different users.
Journal ArticleDOI

Manifestations of user personality in website choice and behaviour on online social networks

TL;DR: It is concluded that predicting a user’s personality profile can be applied to personalize content, optimize search results, and improve online advertising.