Anish Das Sarma

  1. REX: Explaining Relationships between Entity Pairs.

    Authors: Anish Das Sarma, Cong Yu, Lujun Fang, Philip Bohannon
    Subjects: Databases
    Abstract

    Knowledge bases of entities and relations (either constructed manually or
    automatically) are behind many real world search engines, including those at
    Yahoo!, Microsoft, and Google. Those knowledge bases can be viewed as graphs
    with nodes representing entities and edges representing (primary)
    relationships, and various studies have been conducted on how to leverage them
    to answer entity seeking queries. Meanwhile, in a complementary direction,
    analyses over the query logs have enabled researchers to identify entity pairs
    that are statistically correlated.

  2. Understanding Fashion Cycles as a Social Choice.

    Authors: Anish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang
    Subjects: Computer Science and Game Theory
    Abstract

    We present a formal model for studying fashion trends, in terms of three
    parameters of fashionable items: (1) their innate utility; (2) individual
    boredom associated with repeated usage of an item; and (3) social influences
    associated with the preferences from other people. While there are several
    works that emphasize the effect of social influence in understanding fashion
    trends, in this paper we show how boredom plays a strong role in both
    individual and social choices.

  3. Space Constrained Dynamic Covering.

    Authors: Anish Das Sarma, Shaddin Dughmi, Ioannis Antonellis
    Subjects: Data Structures and Algorithms
    Abstract

    In this paper, we identify a fundamental algorithmic problem that we term
    space-constrained dynamic covering (SCDC), arising in many modern-day web
    applications, including ad-serving and online recommendation systems in eBay
    and Netflix. Roughly speaking, SCDC applies two restrictions to the
    well-studied Max-Coverage problem: Given an integer k, X={1,2,...,n} and
    I={S_1, ..., S_m}, S_i a subset of X, find a subset J of I, such that |J| <= k
    and the union of S in J is as large as possible.

  4. Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence.

    Authors: Laure Berti-Equille, Anish Das Sarma, Dong, Amelie Marian, Divesh Srivastava
    Subjects: Databases
    Abstract

    The Web has enabled the availability of a huge amount of useful information,
    but has also eased the ability to spread false information and rumors across
    multiple sources, making it hard to distinguish between what is true and what
    is not. Recent examples include the premature Steve Jobs obituary, the second
    bankruptcy of United airlines, the creation of Black Holes by the operation of
    the Large Hadron Collider, etc.

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