IPTV program recommendation based on combination strategies
نویسندگان
چکیده
منابع مشابه
Keyword-Based TV Program Recommendation
Notwithstanding the success of collaborative filtering algorithms for item recommendation there are still situations in which there is a need for content-based recommendation, especially in new-item scenarios, e.g. in streaming broadcasting. Since video content is hard to analyze we use documents describing the videos to compute item similarities. We do not use the descriptions directly, but us...
متن کاملPhrase Alignment Based on Combination of Multiple Strategies
Phrase translation pairs are very useful for bilingual lexicography, machine translation system, crosslingual information retrieval and many applications in natural language processing. There is phrase boundary information in parsing trees of sentences. Linguistics knowledge in translation lexicon and semantic lexicon, and statistics results from bilingual corpus can be used to align Chinese wo...
متن کاملA Fast SVC-Based Channel-Recommendation System for an IPTV on a Cloud and P2P Hybrid Platform
In this paper, we propose a fast scalable video coding (SVC)-based channel-recommendation system for IPTV on a Cloud and peer-to-peer (P2P) hybrid platform. When a user switches channels, the system redirects the client to the cloud network and delivers the base layer of SVC streams to the client. The system provides a multichannel preview window with a small resolution and a fast channelswitch...
متن کاملStratego: A Language for Program Transformation Based on Rewriting Strategies
Program transformation is used in many areas of software engineering. Examples include compilation, optimization, synthesis, refactoring, migration, normalization and improvement [15]. Rewrite rules are a natural formalism for expressing single program transformations. However, using a standard strategy for normalizing a program with a set of rewrite rules is not adequate for implementing progr...
متن کاملEvaluating Group Recommendation Strategies in Memory-Based Collaborative Filtering
Group recommendation presents significant challenges in evolving best practice approaches to group modeling, but even moreso in dataset collection for testing and in developing principled evaluation approaches across groups of users. Early research provided more limited, illustrative evaluations for group recommender approaches, but recent work has been exploring more comprehensive evaluative t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201816901003