Add to ORKGAbstract. Web search engines are usually designed to serve all users, without considering the interests of individual users. Personalized web search incorporates an individual user's interests when deciding relevant results to return. We propose to learn a user profile, called a user interest hierarchy (UIH), from web pages that are of interest to the user. The user’s interest in web pages will be determined implicitly, without directly asking the user. Using the implicitly learned UIH, we study methods that (re)rank the results from a search engine. Experimental results indicate that our personalized ranking methods, when used with a popular search engine, can yield more relevant web pages for individual users.
In our study, we implemented a wrapper for Google to examine different sources of information on whi...
An often stated problem in the state-of-the-art web search is its lack of user adaptation, as all us...
In this thesis, I propose a method for establishing a personalized recommendation system for re-rank...
Web search engines are usually designed to serve all users, without considering the interests of ind...
Web search engines provide users with a huge number of results for a submitted query. However, not a...
To provide a more robust context for personalization, we desire to extract a continuum of general (l...
This paper is to investigate rank aggregation based on multiple user-centered measures in the contex...
Many search algorithms have been implemented by many researchers on the world wide web. One of the b...
Canonical Information Retrieval systems perform a ranked keyword search strategy: Given a user's one...
User profiles, descriptions of user interests, can be used by search engines to provide personalized...
As data of an unprecedented scale are becoming accessible on the Web, personalization, of narrowing ...
We present a new approach for personalizing Web search results to a specific user. Ranking functions...
Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users wi...
Abstract The fundamental idea behind personalization is to first learn something about the users of ...
The availability of web search has revolutionised the way people discover information, yet as search...
In our study, we implemented a wrapper for Google to examine different sources of information on whi...
An often stated problem in the state-of-the-art web search is its lack of user adaptation, as all us...
In this thesis, I propose a method for establishing a personalized recommendation system for re-rank...
Web search engines are usually designed to serve all users, without considering the interests of ind...
Web search engines provide users with a huge number of results for a submitted query. However, not a...
To provide a more robust context for personalization, we desire to extract a continuum of general (l...
This paper is to investigate rank aggregation based on multiple user-centered measures in the contex...
Many search algorithms have been implemented by many researchers on the world wide web. One of the b...
Canonical Information Retrieval systems perform a ranked keyword search strategy: Given a user's one...
User profiles, descriptions of user interests, can be used by search engines to provide personalized...
As data of an unprecedented scale are becoming accessible on the Web, personalization, of narrowing ...
We present a new approach for personalizing Web search results to a specific user. Ranking functions...
Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users wi...
Abstract The fundamental idea behind personalization is to first learn something about the users of ...
The availability of web search has revolutionised the way people discover information, yet as search...
In our study, we implemented a wrapper for Google to examine different sources of information on whi...
An often stated problem in the state-of-the-art web search is its lack of user adaptation, as all us...
In this thesis, I propose a method for establishing a personalized recommendation system for re-rank...