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Special Report on

Active collaborative filtering

active collaborative filtering special research report Photo by download.fora.tv
Finding compelling shows to watch is the lifeblood of any TV service: when viewers can find content that appeals to them, satisfaction goes up, usage goes up, and businesses succeed. However, with a growing number of channels and more and more programmes available on demand, viewers get confused, lost, and end up sticking to traditional TV channels, frustrated by repeats of old TV shows without knowing what is available on premium channels or video on demand services. With technologies, viewers are automatically advised of TV ...
is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. Applications of collaborative filtering typically involve very large data sets. Collaborative filtering methods have been applied to many different kinds of data including sensing and monitoring data - such as in mineral exploration, environmental sensing over large areas or multiple sensors; financial data - such as financial service institutions that integrate many financial sources; or in electronic commerce and web 2.0 applications where the focus is on user data, etc. The ...
REVIEWS AND OPINIONS
aanbevelingssystemen op basis van gedrag
enkele maanden stage gelopen bij VPRO Digitaal. Ik heb onderzoek gedaan naar de geschiktheid van zogenaamde passieve coöperatieve filtering voor aanbevelingssystemen voor de VPRO. Ik heb 3VOOR12 gebruikt als case study, maar de techniek is generiek en is dus in principe breder in te zetten. Op vrijdag 17 oktober heb ik een presentatie gegeven voor VPRO Digitaal, maar voor degenen die daar niet bij konden zijn en voor degenen die nog eens willen nalezen wat mijn bevindingen ook alweer waren is er nu deze blogpost. De complete scriptie is op aanvraag beschikbaar. Aanbevelingssystemen hebben de afgelopen jaren een grote vlucht ... market research, surveys and trends
More on Pandora: genres, genomes, and musical taste…
Enter a “seed” song into Pandora’s search engine, and the site will create a streaming “station” composed of songs that resemble your seed song. This process is powered by the Music Genome Project, a massive research endeavor which began in the early 2000s and is based out of the company’s Oakland, California headquarters. How is Pandora’s song-recommendation engine different than web radio platforms that came before it? Well, the majority of other online radio stations, such as last.fm, operate off a system called collaborative filtering. What is collaborative filtering? In layperson’s terms, collaborative filtering involves ... market research, surveys and trends

SURVEY RESULTS FOR
ACTIVE COLLABORATIVE FILTERING

Automated Collaborative Filtering and Semantic Transports - draft 0.72
This essay focuses on the conceptualization of the issues, comparisons of current technological developments to other historical/evolutionary processes, future of automated collaboration and its implications for economic and social development of the world, and suggestions of what we may want to pursue and avoid. Explanations of the workings of the technology and analysis of the current market are not my purpose here, although some explanations and examples may be appropriate. Please send your suggestions to sasha1@netcom.com You can find an up-to-date version of the essay at http://www.lucifer.com/~sasha/articles/ACF.html ... industry trends, business articles and survey research
Data Mining Industry: Emerging Trends and New Opportunities
margin of at least 20 percent, and selling through the indirect sales channel?” ...... industry would surpass the $370 Billion mark in online transactions. Compared with ...... Pointing the Way: Active Collaborative Filtering. ... industry trends, business articles and survey research
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INFORMATION RESOURCES

Active Collaborative Filtering
active collaborative filtering in the context of generic prob- abilistic models. ...... planning to develop an active collaborative filtering proto- ... technology research, surveys study and trend statistics
Improving mobile learning with enhanced Shih's model of mobile ...
There exists a distinguished user ua∈U called the active user for whom the task of a collaborative filtering algorithm is to find an item likeliness that ... technology research, surveys study and trend statistics
REAL TIME
ACTIVE COLLABORATIVE FILTERING
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QUESTIONS AND ANSWERS
Word of Mouse
Collaborative filtering is at the same time very new and very old. At its core, collaborative filtering is any mechanism whereby members of a community collaborate to identify what is good and what is bad. Even in prehistoric days, our species relied upon informal collaborative filtering. When a tribe encountered some new berry or root, they didn't all eat it simultaneously. Some people watched to see if the others became ill. If those who had eaten did get sick, the others would use this strong negative recommendation by avoiding that food (e.g., the deadly ...
What do they call the feature on amazon.com when they say, "People ...
What do they call the feature on amazon.com when they say, "People who bought this book also bought...these other books"? What's the technical term for the "people who bought this also bought..." on amazon.com and various other sales websites? I've heard it referred to most often as a recommendation service or recommendation engine (for the backend). People also call it a "recommender" system, if you're looking in the literature. Thanks, vacapinta. The Firefly recommendation system was primitive in comparison. Of the versions of recommendation systems that Amazon has filed a patent for, this patent application ...