Probabilistic Topic Models and User Behavior
نویسنده
چکیده
Friday, October 16, 2015, 2-4pm Social Science Research Commons Grand Hall Woodburn Hall 200 Topic modeling algorithms analyze a document collection to estimate its latent thematic structure. However, many collections contain an additional type of data: how people use the documents. For example, readers click on articles in a newspaper website, scientists place articles in their personal libraries, and lawmakers vote on a collection of bills. Behavior data is essential both for making predictions about users (such as for a recommendation system) and for understanding how a collection and its users are organized.
منابع مشابه
یک مدل موضوعی احتمالاتی مبتنی بر روابط محلّی واژگان در پنجره‌های هم‌پوشان
A probabilistic topic model assumes that documents are generated through a process involving topics and then tries to reverse this process, given the documents and extract topics. A topic is usually assumed to be a distribution over words. LDA is one of the first and most popular topic models introduced so far. In the document generation process assumed by LDA, each document is a distribution o...
متن کاملScalable Recommendation with Poisson Factorization
We develop hierarchical Poisson matrix factorization (HPF) for recommendation. HPF models sparse user behavior data, large user/item matrices where each user has provided feedback on only a small subset of items. HPF handles both explicit ratings, such as a number of stars, or implicit ratings, such as views, clicks, or purchases. We develop a variational algorithm for approximate posterior inf...
متن کاملLA-CTR: A Limited Attention Collaborative Topic Regression for Social Media
Probabilistic models can learn users’ preferences from the history of their item adoptions on a social media site, and in turn, recommend new items to users based on learned preferences. However, current models ignore psychological factors that play an important role in shaping online social behavior. One such factor is attention, the mechanism that integrates perceptual and cognitive features ...
متن کاملMobile Web User Behavior Modeling
Models of mobile web user behavior have broad applicability in fields such as mobile network optimization, mobile web content recommendation, collective behavior analysis, and human dynamics. This paper proposes and evaluates URI model, a novel approach to analyze user mobile Web usage behavior, which combines user interest modeling with location analysis. The URI model takes as input mobile us...
متن کاملAnalysis of the dynamic behavior of the car user in the irregular terrain
Many people experience vibration effects on whole-body throughout their lives frequently. Vibrating energy absorbed is exposed all-body caused with vibration hazard in the vertically on body and biodynamic responses from body in speed 2.37 to 5.14 m/s could captivate with car seat on user body, so the vibration energy transferred to a seated people body. In this paper, the human body is modeled...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015