Abstract: A method for targeting marketing for user conversion includes receiving a list of users. Data pertaining to the users is received. A conversion likelihood score representing an estimation of how likely the user would be to converted from a trial user to a paid user is determined for each user. A similarity score representing how similar the users of the pair are to one another is determined for each possible pair of users. A graph in which each node thereof represents each user and edges between the nodes have edge weights representing the determined similarity scores is constructed. Each node is associated with a value representing its conversion likelihood score. A marketing potential score is calculated for each user using both the node-associated-values and the edge weights of the graph. A set of target users having highest marketing potential scores is constructed.

Abstract: Selecting candidates from a set of candidates by receiving a set of input parameters about a single aspect of the candidates and applying multiple scoring methods to those input parameters to compute a candidate score via each scoring method. A subset of zero or more candidates is then selected from the set of candidates by applying one or more selection criteria to the set of scores. There is not necessarily a value for every input parameter of every candidate.

Abstract: Aspects of the present invention include a method, system and computer program product. The method includes determining, by the processor, an optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions. The method also includes determining, by the processor, a winning function for bids placed for campaigns in each one of a plurality of online real time bidding auctions, and determining, by the processor, a bidding function for bids placed for campaigns in each one of a plurality of online real time bidding auctions. The method also includes determining, by the processor, the optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions as a function of the determined winning function and the determined bidding function.

Abstract: Methods and a system are provided. A method includes extracting subsequences from a sequence of a customer journey that includes customer interactions on different channels at different times on different topics. The method further includes measuring an effectiveness of each of the subsequences based on journey success data, by applying a statistical hypothesis testing approach. The method also includes determining a contribution of each of the customer interactions for a given one of the subsequences, by applying a sequence-based journey attribution model.

Abstract: A method for targeting marketing for user conversion includes receiving a list of users. Data pertaining to the users is received. A conversion likelihood score representing an estimation of how likely the user would be to converted from a trial user to a paid user is determined for each user. A similarity score representing how similar the users of the pair are to one another is determined for each possible pair of users. A graph in which each node thereof represents each user and edges between the nodes have edge weights representing the determined similarity scores is constructed. Each node is associated with a value representing its conversion likelihood score. A marketing potential score is calculated for each user using both the node-associated-values and the edge weights of the graph. A set of target users having highest marketing potential scores is constructed.

Abstract: An aspect of the disclosure includes a method, a system and a computer program product for retargeting content to a decision making unit. The method including determining a journey stage for each of the plurality of individuals. A retargeting strategy is identified for each of the plurality of individuals, the retargeting strategy based at least in part on the journey stage for each of the plurality of individuals and a cost factor. Content data is transmitted to at least one of the plurality of individuals using retargeting based at least in part on the retargeting strategy.

Abstract: A method for automatic placement opportunity bidding of digital advertising in a real-time advertisement exchange includes receiving a request for an ad placement opportunity from the exchange or a content publisher. The request includes information pertaining to a user who is presently viewing on-line content. Audience segments that the user belongs to are identified. An audience group is identified based on the audience segments. It is determined if a first and/or a second ad campaign of an advertiser should respond to the requests based on the identified audience group. When there is an audience conflict, it is resolved to identify one single ad campaign to respond to the placement opportunity request. The bid for the placement opportunity is submitted on behalf of the identified ad campaign.

Abstract: Selecting candidates from a set of candidates by receiving a set of input parameters about a single aspect of the candidates and applying multiple scoring methods to those input parameters to compute a candidate score via each scoring method. A subset of zero or more candidates is then selected from the set of candidates by applying one or more selection criteria to the set of scores. There is not necessarily a value for every input parameter of every candidate.

Abstract: A system, method and program product for siting charging stations. A mobility detection module collects traffic data from vehicle sensors distributed in an area. A map matching module maps detected traffic in the area. A vehicle flow module temporally characterizes mapped traffic flow. An electric vehicle (EV) requirements (EVR) evaluator determines an optimal number of charging stations and respective locations for siting the charging stations.

Abstract: A system, method and program product for siting charging stations. A mobility detection module collects traffic data from vehicle sensors distributed in an area. A map matching module maps detected traffic in the area. A vehicle flow module temporally characterizes mapped traffic flow. An electric vehicle (EV) requirements (EVR) evaluator determines an optimal number of charging stations and respective locations for siting the charging stations.

Abstract: A method, apparatus, and computer program product for managing marketing impressions. An apparatus identifies utility of a seller and utility of a user. The apparatus generates an offer of a reward based on the utility of the seller and the utility of the user. The offer of the reward is for performing a social marketing task. The social marketing task is for generating a first number of marketing impressions to achieve a set of objectives of the seller. The apparatus activates the reward for the user when the social marketing task is completed. The social marketing task is completed when the apparatus determines that the user has accepted the offer and the performing of the social marketing task has generated the first number of marketing impressions.

Abstract: Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.

Abstract: A method includes obtaining transaction data for two or more items, determining valuations for the two or more items, grouping the two or more items into one or more bundles, wherein each bundle comprises a different combination of the two or more items, estimating a joint distribution of valuations for the two or more items in each of the one or more bundles based on the transaction data for the two or more items, and estimating expected profits for each of the one or more bundles over a range of bundle prices from the joint distribution.

Abstract: A method for systematically determining a pricing strategy based on one or more of a business insight, a price perception model and a surprise model.

Abstract: A system, method and program product for managing charging station usage. After receiving a request for charging capacity in electric vehicle (EV) charging spaces, e.g., located in commercial parking lots, if it can be fulfilled the request is accepted. Each accepted request is matched with available EV charging spaces. A scheduling unit schedules charging for each request to a matched EV charging space when a charging price is predetermined. Otherwise, if a charging price is not previously determined, a pricing unit sets a permit price and schedules charging for the match.

Abstract: Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.

Abstract: A system, method and program product for siting charging stations. A mobility detection module collects traffic data from vehicle sensors distributed in an area. A map matching module maps detected traffic in the area. A vehicle flow module temporally characterizes mapped traffic flow. An electric vehicle (EV) requirements (EVR) evaluator determines an optimal number of charging stations and respective locations for siting the charging stations.