In this paper, to facilitate user's browsing we propose relevant and exploratory recommendation algorithms utilizing multimodal similarity and contextual ...
This paper proposes a novel personalized framework to achieve recommendation by re-ranking the video search result list according to user selected one by ...
In this paper, to facilitate userpsilas browsing we propose relevant and exploratory recommendation algorithms utilizing multimodal similarity and contextual ...
Given countless web videos available online, one problem is how to help users find videos to their taste in an efficient way. In this paper, to facilitate ...
Oct 30, 2023 · “Web video recommendation and long tail discovering,” in 2008 IEEE International Conference on Multimedia and Expo, 369–372. [Google Scholar] ...
Our goal is to motivate and guide the discovery process, presenting to users rare, non-hit, items they could find interesting. 4.6.1 Recommending the Unknown.
Sep 15, 2016 · If users are discovering videos through means other than our recom- mendations, we want to be able to quickly propagate this discovery to others ...
Aug 10, 2023 · Long-tail keywords are highly specific search queries that have lower search volumes but more refined intent.
Mar 23, 2021 · How to Identify Long-Tail Keywords · 1. Examine autocomplete suggestions in Google directly. · 2. Use question modifiers like “what” and “how.” · 3 ...
ABSTRACT. The success of “infinite-inventory” retailers such as Amazon.com and Netflix has been largely attributed to a “long tail” phenomenon.