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Collaborative Filtering with Temporal Dynamics
From Communications of the ACM

Collaborative Filtering with Temporal Dynamics

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

From Communications of the ACM

Creativity Helps Influence Prediction Precision

The past decade has seen an explosion of interest in machine learning and data mining, with significant advances in terms of...

Using the Forest to See the Trees
From Communications of the ACM

Using the Forest to See the Trees: Exploiting Context For Visual Object Detection and Localization

Recognizing objects in images is an active area of research in computer vision. However, most of the algorithms for detecting objects perform an exhaustive search...

From Communications of the ACM

Technical Perspective: Seeing the Trees, the Forest, and Much More

Bristling with cameras, microphones, and other sensors, today's portable phones are nevertheless essentially deaf and...

Post-Silicon Bug Localization For Processors Using IFRA
From Communications of the ACM

Post-Silicon Bug Localization For Processors Using IFRA

IFRA overcomes major challenges associated with a very expensive step in post-silicon validation of processors — pinpointing a bug location and the instruction...

From Communications of the ACM

Technical Perspective: Want to Be a Bug Buster?

Microprocessor performance has increased exponentially. These chips with ever increasing complexity are not always fully functional on...

Structural Characterizations of Schema-Mapping Languages
From Communications of the ACM

Structural Characterizations of Schema-Mapping Languages

Information integration is a key challenge faced by all major organizations, business and governmental ones alike. Two research...

From Communications of the ACM

Technical Perspective: Schema Mappings: Rules For Mixing Data

When you search for products on Amazon.com, you are seeing results from thousands of vendor databases that were developed before Amazon existed. Did you ever wonder...

Predicting Structured Objects with Support Vector Machines
From Communications of the ACM

Predicting Structured Objects with Support Vector Machines

Machine Learning today offers a broad repertoire of methods for classification and regression. But what if we need to predict complex objects like trees, orderings...

From Communications of the ACM

Technical Perspective: Machine Learning For Complex Predictions

Interest in machine learning can be traced back to the early days of computer science. Alan Turing himself conjectured that...

From Communications of the ACM

Declarative Networking

Declarative Networking is a programming methodology that enables developers to concisely specify network protocols and services, which are directly compiled to...

From Communications of the ACM

Technical Perspective: Narrowing the Semantic Gap in Distributed Programming

In science, significant advances are often made when researchers from different communities join forces.

Finding the Frequent Items in Streams of Data
From Communications of the ACM

Finding the Frequent Items in Streams of Data

Many data generation processes can be modeled as data streams. While this data may be archived and indexed within a data warehouse, it is also important to process...

From Communications of the ACM

Technical Perspective: Data Stream Processing - When You Only Get One Look

The database and systems communities have made great progress in developing database systems that allow us to store and query huge amounts of data. Real-time analysis...

Distinct-Value Synopses For Multiset Operations
From Communications of the ACM

Distinct-Value Synopses For Multiset Operations

The task of estimating the number of distinct values (DVs) in a large dataset arises in a wide variety of settings in computer science and elsewhere. We provide...

From Communications of the ACM

Technical Perspective: Relational Query Optimization: Data Management Meets Statistical Estimation

Relational systems have made it possible to query large collections of data in a declarative style through languages such as SQL. There is a key component that...

Spamalytics: An Empirical Analysis of Spam Marketing Conversion
From Communications of the ACM

Spamalytics: An Empirical Analysis of Spam Marketing Conversion

We all receive spam advertisements, but few of us have encountered a person who admits to following through on an offer and making a purchase. And yet, the relentlessness...

From Communications of the ACM

Technical Perspective: They Do Click, Don't They?

You never click on advertisements received in spam or in phishing messages, do you? Nobody does. So, if that is...

Statistical Analysis of Circuit Timing Using Majorization
From Communications of the ACM

Statistical Analysis of Circuit Timing Using Majorization

Future miniaturization of silicon transistors following Moore's Law may be in jeopardy as it becomes harder to precisely define the behavior and shape of nanoscale...

From Communications of the ACM

Technical Perspective: Where the Chips May Fall

The traditional approach to circuit design has been to build chips that work correctly at extreme-case process...
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