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 …
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A comprehensive evaluation of scholarly paper recommendation using potential citation papers
To help generate relevant suggestions for researchers, recommendation systems have started to leverage the latent interests in the …
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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 …
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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 …
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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 …
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Serendipitous recommendation for scholarly papers considering relations among researchers
Serendipity occurs when one finds an interesting discovery while searching for something else. While search engines seek to report work …
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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 …
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Supervised categorization of JavaScriptTM using program analysis features
Web pages often embed scripts for a variety of purposes, including advertising and dynamic interaction. Understanding embedded scripts …
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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 …
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Search engine driven author disambiguation
In scholarly digital libraries, author disambiguation is an important task that attributes a scholarly work with specific authors. This …
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