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Modeling and Predicting User Interests
"... based on Taxonomy Makoto Nakatsujiopment domain. We extract user knowledge of system development from accumulated mails for a system development project. Developers responsible for handling modules or development procedures often collaborate with each other in the course of their work. Given the lon ..."
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issues, the thesis studies the following topics. 1. Identifying novel topics based on user interests. We introduce the method that extracts user interests from users ’ blog entries and measures similarity of users according to the taxonomy of items. We also introduce a new measure, score of novelty
Inferring User Interest
- IEEE INTERNET COMPUTING
, 2001
"... Recommender systems provide personalized suggestions about items that users will find interesting. Typically, recommender systems require a user interface that can determine the interest of a user and use this information to make suggestions. The common solution, explicit ratings, where users tell t ..."
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Cited by 44 (0 self)
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Recommender systems provide personalized suggestions about items that users will find interesting. Typically, recommender systems require a user interface that can determine the interest of a user and use this information to make suggestions. The common solution, explicit ratings, where users tell
Identifying User Interests in Folksonomies
"... Abstract. This paper proposes a probabilistic method for classifying folksonomy users to specific domains and for identifying their specific interests to these domains. The proposed method uses a hierarchical probabilistic topic modeling approach that exploits tags to induce hierarchies of latent to ..."
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Abstract. This paper proposes a probabilistic method for classifying folksonomy users to specific domains and for identifying their specific interests to these domains. The proposed method uses a hierarchical probabilistic topic modeling approach that exploits tags to induce hierarchies of latent
Implicit Web User Interest
, 2011
"... We would like to thank Professor Wills, our advisor for agreeing to advise this project for us and all the great advice and support he gave us throughout this project. We would also like to thank Professor Brown for meeting with us to discuss the Curious Browser and Mindful Reader MQPs which he advi ..."
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advised. Finally we would like to thank every one who participated in our study and help us gather the data we needed to complete this project. User interest in content on a webpage is an important factor for mak-ing business decisions and improving user experience. Explicit ratings are often used as a
Are waterpipe users interested in quitting?
, 2004
"... Waterpipe smoking has increased dramatically worldwide in recent years, with an estimated 100 million daily users. Research on this traditional Middle Eastern tobacco use method is in its infancy, and little is known about users ’ cessation-related attitudes and experiences. A random sample of 268 n ..."
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Cited by 3 (0 self)
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, independent predictors of interest in quitting included being married, having smoked for fewer years, not increasing the frequency of smoking over time, and having family members who do not smoke a waterpipe and disapprove of its use. Results indicate that a sizable percentage of waterpipe users express
Semantic-Based User Interests Computation
"... Abstract: Rendering based on user interests is one of the hot topics in large-scale scene’s expressive rendering. In this paper, we present a novel semantic-based method for computing user interests, which uses semantic forest consisting of various semantic trees to describe the complex relevance be ..."
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Abstract: Rendering based on user interests is one of the hot topics in large-scale scene’s expressive rendering. In this paper, we present a novel semantic-based method for computing user interests, which uses semantic forest consisting of various semantic trees to describe the complex relevance
Modeling User Interests By Conceptual Clustering
, 2005
"... As more information becomes available on the Web, there has been a crescent interest in effective personalization techniques. Personal agents providing assistance based on the content of Web documents and the user interests emerged as a viable alternative to this problem. Provided that these agents ..."
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Cited by 20 (7 self)
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As more information becomes available on the Web, there has been a crescent interest in effective personalization techniques. Personal agents providing assistance based on the content of Web documents and the user interests emerged as a viable alternative to this problem. Provided that these agents
Event Detection with Common User Interests
"... In this paper, we aim at detecting events of common user interests from huge volume of user-generated content. The degree of interest from common users in an event is evi-denced by a significant surge of event-related queries issued to search for documents (e.g., news articles, blog posts) rel-evant ..."
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In this paper, we aim at detecting events of common user interests from huge volume of user-generated content. The degree of interest from common users in an event is evi-denced by a significant surge of event-related queries issued to search for documents (e.g., news articles, blog posts) rel
Potential User Interest in FLOSS Projects
"... Abstract This paper presents a novel method and algorithm to measure the size of an open source project’s user base and the level of potential user interest that it generates. Previously unavailable download data at a daily resolution confirms hypothesized patterns related to release cycles. In shor ..."
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Abstract This paper presents a novel method and algorithm to measure the size of an open source project’s user base and the level of potential user interest that it generates. Previously unavailable download data at a daily resolution confirms hypothesized patterns related to release cycles
Automatic Identification of User Interest For Personalized Search
, 2006
"... One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the search engine know what we want. Coping with ambiguous queries has long been an important part in the research of Informa ..."
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Cited by 106 (2 self)
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One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the search engine know what we want. Coping with ambiguous queries has long been an important part in the research
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24,984
