Abstract Markov Decision Process (MDP) with large action space naturally occurs in many
applications such as language processing, information retrieval, and recommendation …

Efficiently computing the weighted Jaccard similarity has become an active research topic in
machine learning and theory. For sparse data, the standard technique is based on the …

Neural network based ranking has been widely adopted owing to its powerful capacity in
modeling complex relationships (eg, users and items, questions and answers). Online …

We propose using" powered generalized min-max''(pGMM) hashed (linearized) via the"
generalized consistent weighted sampling''(GCWS) for training (deep) neural networks …

Search engines and recommendation systems are built to efficiently display relevant
information from those massive amounts of candidates. Typically a three-stage mechanism …

Video advertisements may grasp customers' attention instantly and are often adored by
advertisers. Since the corpus is vast, achieving an efficient query-to-video search can be …

Approximate Nearest Neighbor (ANN) search is a fundamental technique for (eg,) the
deployment of recommender systems. Recent studies bring proximity graph-based methods …

To retrieve personalized campaigns and creatives while protecting user privacy, digital
advertising is shifting from member-based identity to cohort-based identity. Under such …

Gene-gene interactions play a crucial role in the manifestation of complex human diseases.
Uncovering significant gene-gene interactions is a challenging task. Here, we present an …

Many hashing algorithms including minwise hashing (MinHash), one permutation hashing
(OPH), and consistent weighted sampling (CWS) generate integers of B bits. With k hashes …