Social Collaborative Retrieval
نویسندگان
چکیده
منابع مشابه
How social interactions affect emotional memory accuracy: Evidence from collaborative retrieval and social contagion paradigms
In daily life, emotional events are often discussed with others. The influence of these social interactions on the veracity of emotional memories has rarely been investigated. The authors (Choi, Kensinger, & Rajaram Memory and Cognition, 41, 403-415, 2013) previously demonstrated that when the categorical relatedness of information is controlled, emotional items are more accurately remembered t...
متن کاملTowards Collaborative Information Retrieval
Information Retrieval Systems have been studied in Computer Science for Decades. The traditional ad-hoc task in Information Retrieval is to find all documents relevant for an ad-hoc given query. Much work has been spent into improving on this task, in particular in the Text Retrieval Evaluation Conference series (TREC). In 1998 it was decided on TREC-8 that this task should not be longer persua...
متن کاملLatent Collaborative Retrieval
Retrieval tasks typically require a ranking of items given a query. Collaborative filtering tasks, on the other hand, learn to model user’s preferences over items. In this paper we study the joint problem of recommending items to a user with respect to a given query, which is a surprisingly common task. This setup differs from the standard collaborative filtering one in that we are given a quer...
متن کاملSocial-based Collaborative Filtering
Recommendation: A suggestion or proposal to a user for an item, e.g., book, movie, video, news article, that is potentially interesting for the user. Recommender system: A system or engine that produces recommendations by predicting the preferences of users for certain items. Ratings matrix: Assume a set of users U and a set of items I in the recommender system. A user u 2 U might provide her p...
متن کاملSocial network collaborative filtering
This paper demonstrates that "social network collaborative filtering" (SNCF), wherein user-selected like-minded alters are used to make predictions, can rival traditional user-to-user collaborative filtering (CF) in predictive accuracy. Using a unique data set from an online community where users rated items and also created social networking links specifically intended to represent likeminded ...
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: IEEE Journal of Selected Topics in Signal Processing
سال: 2014
ISSN: 1932-4553,1941-0484
DOI: 10.1109/jstsp.2014.2317286