The amount of information available online is increasing exponentially. While this
information is a valuable resource, its sheer volume limits its value. Many research projects …

We examine the effect of modeling a researcher's past works in recommending scholarly
papers to the researcher. Our hypothesis is that an author's published works constitute a …

Recommending products to consumers means not only understanding their tastes, but also
understanding their level of experience. For example, it would be a mistake to recommend …

Customer preferences for products are drifting over time. Product perception and popularity
are constantly changing as new selection emerges. Similarly, customer inclinations are …

Online news reading has become very popular as the web provides access to news articles
from millions of sources around the world. A key challenge of news websites is to help users …

Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …

The truly world-wide reach of the Web has brought with it a new realisation of the enormous
importance of usability and user interface design. In the last ten years, much has become …

We formulate and study search algorithms that consider a user's prior interactions with a
wide variety of content to personalize that user's current Web search. Rather than relying on …

User behavior provides many cues to improve the relevance of search results through
personalization. One aspect of user behavior that provides especially strong signals for …

Collaborative filtering is regarded as one of the most promising recommendation algorithms.
The item-based approaches for collaborative filtering identify the similarity between two …