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Volume 33, Issue 3March 2015
Reflects downloads up to 06 Oct 2024Bibliometrics
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research-article
Dynamic User Modeling in Social Media Systems
Article No.: 10, Pages 1–44https://doi.org/10.1145/2699670

Social media provides valuable resources to analyze user behaviors and capture user preferences. This article focuses on analyzing user behaviors in social media systems and designing a latent class statistical mixture model, named temporal context-...

research-article
Stochastic Query Covering for Fast Approximate Document Retrieval
Article No.: 11, Pages 1–35https://doi.org/10.1145/2699671

We design algorithms that, given a collection of documents and a distribution over user queries, return a small subset of the document collection in such a way that we can efficiently provide high-quality answers to user queries using only the selected ...

research-article
Induced Sorting Suffixes in External Memory
Article No.: 12, Pages 1–15https://doi.org/10.1145/2699665

We present in this article an external memory algorithm, called disk SA-IS (DSA-IS), to exactly emulate the induced sorting algorithm SA-IS previously proposed for sorting suffixes in RAM. DSA-IS is a new disk-friendly method for sequentially retrieving ...

research-article
Browsing Hierarchy Construction by Minimum Evolution
Article No.: 13, Pages 1–33https://doi.org/10.1145/2714574

Hierarchies serve as browsing tools to access information in document collections. This article explores techniques to derive browsing hierarchies that can be used as an information map for task-based search. It proposes a novel minimum-evolution ...

research-article
Metrics and Algorithms for Routing Questions to User Communities
Article No.: 14, Pages 1–29https://doi.org/10.1145/2724706

An online community consists of a group of users who share a common interest, background, or experience, and their collective goal is to contribute toward the welfare of the community members. Several websites allow their users to create and manage ...

research-article
A General SIMD-Based Approach to Accelerating Compression Algorithms
Article No.: 15, Pages 1–28https://doi.org/10.1145/2735629

Compression algorithms are important for data-oriented tasks, especially in the era of “Big Data.” Modern processors equipped with powerful SIMD instruction sets provide us with an opportunity for achieving better compression performance. Previous ...

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