This report explored techniques to mine web pages of scientists to extract information regarding their expertise, build expertise chains and referral webs, and semi automatically combine this information with directory information services to create a recommender system that permits query by expertise. The approach included experimenting with existing techniques that have been reported in research literature in recent past , and adapted them as needed. In addition, software tools were developed to capture and use this information
Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what...
Abstract- The dynamic nature of social network and the influence it has on the provision of immediat...
A recommender system in an e-learning context is a software agent that tries to "intelligently&...
In this paper we explore techniques to mine web pages of scientists to extract information regarding...
Finding expertise in a research area helps researchers to know whom are the experts working on the r...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Due to the huge quantity of information accessible on the web, the World Wide Web has suitable one o...
Abstract — Recommender systems are becoming increasingly popular as a means for bringing products to...
Finding experts in academics as well as in enterprises is an important practical problem. Both manua...
Abstract. In this paper we present our approach for expertise mining, addressing several research pr...
Understanding the web user browsing behaviour in order to adapt a web site to the needs of a particu...
Non-expert users find complex to gain richer insights into the increasingly amount of available data...
Web usage data is extensively used in every domain to analyze the browsing behavior of the users who...
This study evaluates two algorithms, Support Vector Machine and Bayesian Logistic Regression as appl...
Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what...
Abstract- The dynamic nature of social network and the influence it has on the provision of immediat...
A recommender system in an e-learning context is a software agent that tries to "intelligently&...
In this paper we explore techniques to mine web pages of scientists to extract information regarding...
Finding expertise in a research area helps researchers to know whom are the experts working on the r...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Due to the huge quantity of information accessible on the web, the World Wide Web has suitable one o...
Abstract — Recommender systems are becoming increasingly popular as a means for bringing products to...
Finding experts in academics as well as in enterprises is an important practical problem. Both manua...
Abstract. In this paper we present our approach for expertise mining, addressing several research pr...
Understanding the web user browsing behaviour in order to adapt a web site to the needs of a particu...
Non-expert users find complex to gain richer insights into the increasingly amount of available data...
Web usage data is extensively used in every domain to analyze the browsing behavior of the users who...
This study evaluates two algorithms, Support Vector Machine and Bayesian Logistic Regression as appl...
Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what...
Abstract- The dynamic nature of social network and the influence it has on the provision of immediat...
A recommender system in an e-learning context is a software agent that tries to "intelligently&...