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The GroupLens Research team, led by Brent Dahlen and Jon Herlocker, used this data set to jumpstart a new movie recommendation site, which they chose to call MovieLens. Since its inception, MovieLens has become a very visible research platform: its data findings have been featured in a detailed discussion in a New Yorker article by Malcolm ...
A few dozens or hundreds of users are presented recommendations created by different recommendation approaches, and then the users judge which recommendations are best. In A/B tests, recommendations are shown to typically thousands of users of a real product, and the recommender system randomly picks at least two different recommendation ...
The cold start problem is a well known and well researched problem for recommender systems.Recommender systems form a specific type of information filtering (IF) technique that attempts to present information items (e-commerce, films, music, books, news, images, web pages) that are likely of interest to the user.
The motivation for collaborative filtering comes from the idea that people often get the best recommendations from someone with tastes similar to themselves. [ citation needed ] Collaborative filtering encompasses techniques for matching people with similar interests and making recommendations on this basis.
The Mendeley research catalog is a crowdsourced database of research documents. Researchers have uploaded nearly 100M documents into the catalog with additional contributions coming directly from subject repositories like Pubmed Central and Arxiv.org or web crawls. Free Mendeley [99] Merck Index: Chemistry, biology, pharmacology: Also available ...
Part 1 of the manual approaches the process of research and writing. This includes providing "practical advice" to formulate "the right questions, read critically, and build arguments" as well as helping authors draft and revise a paper. [3] Initially added with the seventh edition of the manual, this part is adapted from The Craft of Research ...
The Jinni service included semantic search, [1] a meaning-based approach to interpreting queries by identifying concepts within the content, rather than keywords. The search engine served as a video discovery tool focusing on user tastes, including mood, plot, and other parameters, with options to browse and refine using additional terms, e.g., “action in a future dystopia” or “Beautiful ...
Site members may follow a research interest, in addition to following other individual members. [10] It has a blogging feature for users to write short reviews on peer-reviewed articles. [ 10 ] ResearchGate indexes self-published information on user profiles to suggest members to connect with others who have similar interests. [ 3 ]