Information Retrieval

BiRank: Towards Ranking on Bipartite Graphs
The bipartite graph is a ubiquitous data structure that can model the relationship between two entity types: for instance, users and …
Cite DOI URL
Comment-based multi-view clustering of web 2.0 items
Clustering Web 2.0 items (i.e., web resources like videos, images) into semantic groups benefits many applications, such as organizing …
Cite DOI URL
Addressing cold-start in app recommendation: latent user models constructed from twitter followers
As a tremendous number of mobile applications (apps) are readily available, users have difficulty in identifying apps that are relevant …
Cite DOI URL
Exploiting potential citation papers in scholarly paper recommendation
To help generate relevant suggestions for researchers, recommendation systems have started to leverage the latent interests in the …
Cite DOI URL
Scholarly paper recommendation via user's recent research interests
We examine the effect of modeling a researcher’s past works in recommending scholarly papers to the researcher. Our hypothesis is …
Cite DOI URL
Adaptive sorted neighborhood methods for efficient record linkage
Traditionally, record linkage algorithms have played an important role in maintaining digital libraries - i.e., identifying matching …
Cite DOI URL
Search engine driven author disambiguation
In scholarly digital libraries, author disambiguation is an important task that attributes a scholarly work with specific authors. This …
Cite DOI URL
Fast webpage classification using URL features
We demonstrate the usefulness of the uniform resource locator (URL) alone in performing web page classification. This approach is …
Cite DOI URL
Unsupervised learning of soft patterns for generating definitions from online news
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web …
Cite DOI URL
Web page classification without the web page
Uniform resource locators (URLs), which mark the address of a resource on the World Wide Web, are often human-readable and can hint at …
Cite DOI URL