5 citations · 5 across the 4 of their papers we have counts for
4 papers
Structured Query Reformulations in Commerce Search
Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan
Recent work in commerce search has shown that understanding the semantics in user queries enables more effective query analysis and retrieval of relevant products. However, due to…
Predicting Preference Flips in Commerce Search
Or Sheffet, Nina Mishra, Samuel Ieong
Traditional approaches to ranking in web search follow the paradigm of rank-by-score: a learned function gives each query-URL combination an absolute score and URLs are ranked acco…
Efficient Query Rewrite for Structured Web Queries
Sreenivas Gollapudi, Samuel Ieong, Alexandros Ntoulas +1
Web search engines and specialized online verticals are increasingly incorporating results from structured data sources to answer semantically rich user queries. For example, the q…
Predicting RNA Secondary Structures with Arbitrary Pseudoknots by Maximizing the Number of Stacking Pairs
Samuel Ieong, Ming-Yang Kao, Tak-Wah Lam +2
The paper investigates the computational problem of predicting RNA secondary structures. The general belief is that allowing pseudoknots makes the problem hard. Existing polynomial…