Boston College

About: Boston College is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 9749 authors who have published 25406 publications receiving 1105145 citations. The organization is also known as: BC.

Efficient Adaptive-Support Association Rule Mining for Recommender Systems

Abstract: Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences We investigate the use of association rule mining as an underlying technology for collaborative recommender systems Association rules have been used with success in other domains However, most currently existing association rule mining algorithms were designed with market basket analysis in mind Such algorithms are inefficient for collaborative recommendation because they mine many rules that are not relevant to a given user Also, it is necessary to specify the minimum support of the mined rules in advance, often leading to either too many or too few ruless this negatively impacts the performance of the overall system We describe a collaborative recommendation technique based on a new algorithm specifically designed to mine association rules for this purpose Our algorithm does not require the minimum support to be specified in advance Rather, a target range is given for the number of rules, and the algorithm adjusts the minimum support for each user in order to obtain a ruleset whose size is in the desired range Rules are mined for a specific target user, reducing the time required for the mining process We employ associations between users as well as associations between items in making recommendations Experimental evaluation of a system based on our algorithm reveals performance that is significantly better than that of traditional correlation-based approaches

Corporate Venture Capital, Value Creation, and Innovation

Abstract: We analyze how corporate venture capital (CVC) differs from independent venture capital (IVC) in nurturing innovation in entrepreneurial firms. We find that CVC-backed firms are more innovative, as measured by their patenting outcome, although they are younger, riskier, and less profitable than IVC-backed firms. Our baseline results continue to hold in a propensity-score-matching analysis of IPO firms and a difference-in-differences analysis of the universe of VC-backed entrepreneurial firms. We present evidence consistent with two possible underlying mechanisms: CVCs’ greater industry knowledge due to the technological fit between their parent firms and entrepreneurial firms and CVCs’ greater tolerance for failure.

Affect as a Psychological Primitive

Abstract: In this article, we discuss the hypothesis that affect is a fundamental, psychologically irreducible property of the human mind. We begin by presenting historical perspectives on the nature of affect. Next, we proceed with a more contemporary discussion of core affect as a basic property of the mind that is realized within a broadly distributed neuronal workspace. We then present the affective circumplex, a mathematical formalization for representing core affective states, and show that this model can be used to represent individual differences in core affective feelings that are linked to meaningful variation in emotional experience. Finally, we conclude by suggesting that core affect has psychological consequences that reach beyond the boundaries of emotion, to influence learning and consciousness.