Online dating sites have become popular platforms for people to look for potential romantic partners.
Different from traditional user-item recommendations where the goal is to match items (e.g., books, videos) with a user’s interests, a recommendation system for online dating aims to match people who are mutually interested in and likely to communicate with each other.
Our results also reveal interesting behavioral difference between male and female users when it comes to looking for potential dates.
In particular, males tend to be focused on their own interest and oblivious toward their attractiveness to potential dates, while females are more conscientious to their own attractiveness to the other side of the line.
but we have temporarily restricted your access to the Digital Library.
Your activity appears to be coming from some type of automated process.
The most familiar instance of information retrieval is web search where users search a collection of webpages for one or a few relevant webpages.
Information retrieval, however, goes beyond web search and includes topics such as cross-lingual retrieval, personalization, desktop search, and interactive retrieval.
My research experience includes distributed information retrieval approaches to web search, interactive and faceted retrieval, mining of temporal patterns from news and query logs, cross-lingual information retrieval, graph-based retrieval methods, and exploiting information from multiple corpora.
Don’t be a thief—save your grade, use Bib Me™ and give credit to those who deserve it!
Your browser will take you to a Web page (URL) associated with that DOI name.