نتایج جستجو برای: collaborative filtering

تعداد نتایج: 134510  

2016
Michael Muller Katja Neureiter Alina Krischkowsky Manfred Tscheligi

Previous workshops and papers have examined how individual users adopt and adapt technologies to meet their own local needs, by “completing design through use.” However, there has been little systematic study of how groups of people engage collaboratively in these activities. This workshop opens a discussion for these under-studied forms of collaborative appropriation, using a broad range of pe...

Journal: :Oper. Res. Lett. 2015
Michael R. Galbreth Mümin Kurtulus Mikhael Shor

In this paper, we provide an analytical perspective on the link between supply chain collaboration and forecast accuracy, showing that collaborative forecasting can lead to less accurate demand forecasts over a wide range of cost and demand parameters. The result is explained by the decision maker’s relative preference for investing in forecasting vs. order quantities to manage demand uncertain...

2016
Danping Yin Siyuan Gao Zonghui Peng Yameng Li Ruifang Liu

In this paper we focus on the effort of Beijing University of Posts and Telecommunications (BUPT) on the TREC 2016's Contextual Suggestion Track. The problem we are supposed to tackle is how to make suggestions for a particular person with the provided context as well as its preferences. Basically we regard tags as the most important factor, and get ratings for different attractions with the ra...

2007
EBRAHIM BAGHERI

The high complexity and diversity of today’s design projects requires the participation of various modelers and designers. The participants can influence the design process by sharing their perspective, expertise and resources. The involvement of various designers is often known as collaborative modeling and design. A collaborative modeling environment can encompass various geographical or orga...

2014
Hans G. K. Hummel Walter Geerts Aad Slootmaker Derek Kuipers Wim Westera

Serious games can facilitate workplace learning, for instance when collaboration on solving professional problems is involved. The optimal structure in collaboration scripts for such games has appeared to be a key success factor. Free collaboration does not systematically produce effective learning, but imposing too much structure by design might easily disturb the genuine notion of spontaneous...

2004
Giuseppe Carenini Rita Sharma

Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality of their predictions compared in empirical studies. In this paper, we argue that the measures of quality used in these studies are based on rather simple assumptions. We propose and apply additional measures for compari...

2009
Fei Yu Jian Shu Guangxue Yue SongJie Gong Minghui Wu Canghong Jin Jing Ying Zhiyan Chang Yang Xu Weifeng Du Jie Xia Jian Wu Haitao Zhai Zhiming Cui Xixiang Zhang Guangming Zhang Ying Zhang Jun Xiao Ying Wang

Collaborative recommender is the most popular recommendation technique nowadays and it mainly employs the user item rating data set. Traditional collaborative filtering approaches compute a similarity value between the target user and each other user by computing the relativity of their ratings, and they only consider the ratings information. User attribute information associated with a user's ...

2002
John Thomas Riedl Joseph A. Konstan Eric Vrooman

Feel lonely? What about reading books? Book is one of the greatest friends to accompany while in your lonely time. When you have no friends and activities somewhere and sometimes, reading book can be a great choice. This is not only for spending the time, it will increase the knowledge. Of course the b=benefits to take will relate to what kind of book that you are reading. And now, we will conc...

2009
SongJie Gong

Collaborative recommender is the most popular recommendation technique nowadays and it mainly employs the user item rating data set. Traditional collaborative filtering approaches compute a similarity value between the target user and each other user by computing the relativity of their ratings, and they only consider the ratings information. User attribute information associated with a user's ...

2013
Urmila Shinde Rajashree Shedge

Today it is almost impossible to retrieve information with a keyword search when the information is spread over several pages. The Semantic Web is an extension of the current web in which information is given well-defined meaning. Web personalization is the one application of semantic web usage mining. In this report we have explored comparison of various collaborative filtering techniques. Tho...

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